Initialization Free Graph Based Clustering (2009)
Galluccio, Laurent, Michel, Olivier J. J., Comon, Pierre, Slezak, Eric, Hero, Alfred O.
This paper proposes an original approach to cluster multi-component data sets, including an estimation of the number of clusters. From the construction of a minimal spanning tree with Prim's...
Mathematical Description (2009)
Raghuram Rangarajan, Alfred O. Hero
ρ(r) where κ(r) is the compressibility, ρ(r) is the density. This equation is time-reversal invariant. For every burst of sound P (r, t) spreading from a source and possibly re-flected, refracted...
Joint Bayesian endmember extraction and linear unmixing for hyperspectral imagery (2009)
Dobigeon, Nicolas, Moussaoui, Said, Coulon, Martial, Tourneret, Jean-Yves, Hero, Alfred O.
This paper studies a fully Bayesian algorithm for endmember extraction and abundance estimation for hyperspectral imagery. Each pixel of the hyperspectral image is decomposed as a linear combination...
Tree Structured Non-linear Signal Modeling and Prediction (2009)
Alfred O. Hero, Anne Emmanuelle Badel
Abstract—In this paper, we develop a regression tree approach to identification and prediction of signals that evolve according to an unknown nonlinear state space model. In this approach, a tree...
Reconstructing Condition-Specific Signal Transduction Hierarchy using Bayesian Networks (2009)
Dongxiao Zhu, Hua Li, Alfred O Hero
Bayesian networks (BNs) can simultaneously predict probabilistic causal relationships among biomolecules from noisy genome-wide measurements. However, optimal inference of Bayesian Network on the...
Combining multiple partitions created with a graph-based construction for data clustering (2009)
Galluccio, Laurent, Michel, Olivier, Comon, Pierre, Hero, Alfred O., Kliger, Mark
This paper focusses on a new clustering method called evidence accumulation clustering with dual rooted prim tree cuts (EAC-DC), based on the principle of cluster ensembles also known as ``combining...
Combining multiple partitions created with a graph-based construction for data clustering (2009)
Galluccio, Laurent, Michel, Olivier, Comon, Pierre, Hero, Alfred O., Kliger, Mark
This paper focusses on a new clustering method called evidence accumulation clustering with dual rooted prim tree cuts (EAC-DC), based on the principle of cluster ensembles also known as ``combining...
Initialization Free Graph Based Clustering (2009)
Galluccio, Laurent, Michel, Olivier, Comon, Pierre, Slezak, Eric, Hero, Alfred O.
This paper proposes an original approach to cluster multi-component data sets, including an estimation of the number of clusters. From the construction of a minimal spanning tree with Prim's...
Initialization Free Graph Based Clustering (2009)
Galluccio, Laurent, Michel, Olivier, Comon, Pierre, Slezak, Eric, Hero, Alfred O.
This paper proposes an original approach to cluster multi-component data sets, including an estimation of the number of clusters. From the construction of a minimal spanning tree with Prim's...
Extraction de composants purs et démélange linéaire bayésiens en imagerie hyperspectrale (2009)
DOBIGEON, Nicolas, MOUSSAOUI, Saïd, COULON, Martial, TOURNERET, Jean-Yves, HERO, Alfred O.
Cet article propose une nouvelle méthode de démélange aveugle d'images hyperspectrales pour estimer conjointement les spectres des composants purs de l'image et leurs proportions respectives au...
Reconstruction bayésienne d'images MRFM parcimonieuses (2009)
DOBIGEON, Nicolas, HERO, Alfred O., TOURNERET, Jean-Yves
Cet article présente un algorithme de reconstruction d'images issues d'un microscope à résonance magnétique (Magnetic Resonance Force Microscopy en anglais, MRFM) qui ont la particularité...
A Robust Bayesian Fusion Algorithm for Lane and Pavement boundary detection (2008)
Bing Ma, Sridhar Lakshmanan, Alfred O. Hero
In this paper we propose to jointly detect lane and pavement boundaries by fusing information from both optical and radar images acquired with the sensor system mounted on the top of the host...
ON EM ALGORITHMS AND THEIR PROXIMAL GENERALIZATIONS (2008)
Stéphane Chrétien, Alfred O. Hero
Abstract. In this paper, we analyze the celebrated EM algorithm from the point of view of proximal point algorithms. More precisely, we study a new type of generalization of the EM procedure...
Iterative Redeployment of Illumination and Sensing (IRIS): Application to STW-SAR Imaging (2008)
Jay Marble, Raviv Raich, Alfred O. Hero
Abstract — A new technique which we call Iterative Redeployment of Illumination and Sensing (IRIS) is introduced and applied to See-Through-the-Wall radar imaging. IRIS is applicable to adaptive...
Hierarchical Bayesian sparse image reconstruction with application to MRFM (2008)
Dobigeon, Nicolas, Hero, Alfred O., Tourneret, Jean-Yves
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gaussian noise. Our...
Abstract. Variational energy minimization techniques for surface reconstruction are implemented by evolving an active surface according to the solutions of a sequence of elliptic partial differential...
USING DIRECTED INFORMATION TO BUILD BIOLOGICALLY RELEVANT INFLUENCE NETWORKS (2008)
Arvind Rao, Alfred O. Hero, David J. States, James Douglas Engel
The systematic inference of biologically relevant influence networks remains a challenging problem in computational biology. Even though the availability of high-throughput data has enabled the use...
Sidles, John A., Garbini, Joseph L., Harrell, Lee E., Hero, Alfred O., Jacky, Jonathan P., Malcomb, Joseph R., ...
This article presents numerical recipes for simulating high-temperature and non-equilibrium quantum spin systems that are continuously measured and controlled. The notion of a spin system is broadly...
Chapter 1 De Novo Signaling Pathway Reconstruction From Multiple Data Sources (2008)
Dongxiao Zhu, Michael G. Rabbat, Alfred O. Hero, Robert Nowak, Mario Figueiredo, Dongxiao Zhu, ...
Signaling pathways are the primary means of regulating cell growth, metabolism, differentiation and apoptosis. The de novo signaling pathway reconstruction problem can be divided into two...
FINE: Fisher Information Non-parametric Embedding (2008)
Carter, Kevin M., Raich, Raviv, Finn, William G., Hero, Alfred O.
We consider the problems of clustering, classification, and visualization of high-dimensional data when no straightforward Euclidean representation exists. Typically, these tasks are performed by...
Learning Intrinsic Dimension and Entropy of High-Dimensional Shape Spaces (2008)
Given a finite set of random samples from a smooth Riemannian manifold embedded in R d two important questions are: what is the intrinsic dimension of the manifold and what is the entropy of the...
MULTIPLE SIGNAL DETECTION USING THE BENJAMINI-HOCHBERG PROCEDURE (2008)
Pei-jung Chung, Johann F. Böhme, Christoph F. Mecklenbräuker, Alfred O. Hero
We treat the detection problem for multiple signals embedded in noisy observations from a sensor array as a multiple hypothesis test based on log-likelihood ratios. To control the global level of the...
DETECTION OF THE NUMBER OF SIGNALS USING A MULTIPLE HYPOTHESIS TEST (2008)
Pei-jung Chung, Johann F. Böhme, Alfred O. Hero, Christoph F. Mecklenbräuker
This work presents a novel approach to detect multiple signals embedded in noisy observations of a sensor array. We formulate the detection problem as a multiple hypothesis test. To control the...
Energy Based Sensor Network Source Localization via Projection onto Convex Sets (POCS) (2008)
Abstract — This paper addresses the problem of locating an acoustic source using a sensor network in a distributed manner, i.e., without transmitting the full data set to a central point for...
WHEN IS A MAXIMAL INVARIANT HYPOTHESIS TEST BETTER THAN THE GLRT? (2008)
There has been considerable recent interest in applying maximal invariant (MI) hypothesis testing as an alternative to the generalized likelihood ratio test (GLRT). This interest has been motivated...
TWO STATE MARKOV MODELLING AND DETECTION OF SINGLE ELECTRON SPIN SIGNALS (2008)
Alfred O. Hero, Michael Ting, Jeffrey A. Fessler
The focus of this paper is the optimal detection of piecewise constant binary valued continuous-time (C-T) signals with Markovian state transitions. One example is the classic random telegraph signal...
Recursive Algorithms for Computing the Cramer-Rao Bound (2008)
P. Van Hecke, Alfred O. Hero, Mohammad Usman, Anne C. Sauve, Jeffrey A. Fessler
for time-domain NMR data fitting based on total least squares, ” J. Magn.
Sufficient Conditions For Norm Convergence Of The EM Algorithm (2008)
Alfred O. Hero, Jeffrey A. Fessler
this paper we provide sufficient conditions for convergence of a general class of alternating estimationmaximization (EM) type continuous-parameter estimation algorithms with respect to a given norm....
1 Contents STATISTICAL METHODS FOR SIGNAL PROCESSING c○Alfred Hero 1999 2 (2008)
This set of notes is the primary source material for the course EECS564 “Estimation, filtering and
COMPARISON OF GLR AND MAXIMAL INVARIANT DETECTORS UNDER (2007)
Structured Clutter Covariance, Hyung Soo Kim, Alfred O. Hero
There has been considerable recent interest in applying maximal invariant (MI) hypothesis testing as an alternative to the generalized likelihood ratio (GLR) test. This interest has been motivated by...
Optimal Signal Constellations for Space-Time Rayleigh Channels (2007)
Alfred Hero And, Alfred O. Hero, Thomas L. Marzetta
We characterize signal constellations which attain single-user computational cut-o rate for the complex Rayleigh at fading spatio-temporal channel under a peak power constraint. For this channel a...
Digital Modulation Classification Using Power Moment Matrices (2007)
Alfred O. Hero, Hafez Hadinejad-Mahram
With the rising number of modulation types used in multi-user and multi-service digital communication systems, the need to find efficient methods for their discrimination in the presence of noise has...
Space-Time Cut-o Rate for the Flat Rayleigh Fading Channel (2007)
Alfred Hero Dept, Alfred O. Hero, Thomas L. Marzetta
| The computational cut-o rate is studied for the complex Rayleigh at fading spatio-temporal channel under a peak power constraint. Any optimal nite constellation of signals must admit an equalizer...
Sur un problème d'estimation pour des processus de Poisson composés et filtrés (2007)
Compound and filtered Poison processes are useful models for many applications in signal processing, image processing, and communications. One of the earliest imaging applications of these models was...
Sangjin Hong, Riten Gupta, Wayne E. Stark, Alfred O. Hero
A high data rate multi-carrier receiver employing orthogonal frequency division multiplexing (OFDM) for mobile communications requires joint low-power VLSI design optimization of the channel...
A Fast Spectral Method for Active 3D Shape Reconstruction (2007)
Variational energy minimization techniques for surface reconstruction are implemented by evolving an active surface according to the solutions of a sequence of elliptic partial differential equations...
Comparison of GLR and Invariant Detectors (2007)
This paper addresses a target detection problem in radar imaging for which the covariance matrix of unknown Gaussian clutter has block diagonal structure. This block diagonal structure is the...
Dennis L. Goeckel, Alfred O. Hero, Wayne E. Stark
Abstract — Data-recursive algorithms are presented for performing blind channel identification in oversampled communication systems. Novel on-line solutions with complexities that are only linear...
Dennis L. Goeckel, Wayne E. Stark, Dennis Goeckel, Alfred O. Hero, Iii Wayne, ...
Algorithms for performing blind channel identification for a binary phase-shift keyed (BPSK) direct-sequence spread-spectrum (DS/SS) system operating over a fading channel are presented. These...
RECURSIVE CR BOUNDS: ALGEBRAIC AND STATISTICAL ACCELERATION (2007)
Mohammad Usman, Alfred O. Hero
Computation of the Cramer-Rao bound involves inversion of the Fisher information matrix (FIM). The inversion can become computationally intractable when the number of unknown parameters is large....
Moments and Moment Matrices for Invariant Classi cation of Noise Contaminated Spatial Pattern (2007)
Alfred O. Hero, W. J. Williams, H. Hadinejad-mahram
We introduce methods for detection and classication of noise contaminated patterns which are based on performing subspace decomposition on a matrix of higher order spatial moments. The subspace...
New Complete-Data Spaces and Faster Algorithms for Penalized-Likelihood Emission Tomography (2007)
Jeffrey A. Fessler, Alfred O. Hero
The classical expectation-maximization (EM) algorithm for image reconstruction suffers from particularly slow convergence when additive background effects such as accidental coincidences and scatter...
Alfred O. Hero, Thomas L. Marzetta, Professor Alfred, O. Hero Iii
We consider the computational cut-o rate and its implications on signal design for the complex quasistatic Rayleigh at fading spatio-temporal channel under a peak power constraint where neither...
Fundamental Limits on Parametric Shape Estimation Performance (2007)
Robinson Piramuthu, Alfred O. Hero
This paper considers the problem of extraction of shape information from noise corrupted images ac-quired from a resolution limited imaging instrument, a problem that is closely related to shape...
Alfred O. Hero, Olivier Michel
Abstract--- Minimal spanning trees (MST) have been applied to multi-dimensional random processes for pattern recognition and randomness testing (See [1] for references). In this paper we present a...
OPTIMAL MULTIUSER CDMA DECODER USING GROUPED COORDINATE ASCENT AND THE DWT (2007)
It is well known that direct implementation of the optimal multiuser receiver for an asynchronous Code Division Multiple Access (CDMA) communication system has an exponential complexity in the number...
WHEN IS A MAXIMAL INVARIANT HYPOTHESIS TEST BETTER THAN THE GLRT? (2007)
There has been considerable recent interest in applying maximal invariant (MI) hypothesis testing as an alternative to the generalized likelihood ratio test (GLRT). This interest has been motivated...
Jeffrey A. Fessler, Alfred O. Hero
Since image reconstruction and restoration are ill-posed problems, unbiased estimators often have unacceptably high variance. To reduce the variance, one introduces constraints and smoothness...
Unicast-Based Inference of Network Link Delay Distributions with Finite Mixture Models (2007)
Providers of high quality-of-service over telecommunication networks require accurate methods for remote measurement of link-level performance. Recent research in network tomography has demonstrated...
Detection of Bistatic Electron Spin Signals in Magnetic Resonance Force Microscopy (MRFM) (2007)
Chun-yu Yip, Alfred O. Hero, Daniel Rugar, Daniel Rugar Ý
In single spin Magnetic Resonance Force Microscopy (MRFM), the objective is to detect the presence of an electron (or nuclear) spin in a sample volume by measuring spin-induced attonewton forces...
A Spectral Approach To Statistical Polar Shape Modeling (2007)
Jia Li Alfred, Jia Li, Alfred O. Hero
Accounting for uncertainty in three-dimensional (3D) shapes is important in a large number of scientific and engineering areas including: biometrics, biomedical imaging, and multimodality image...
Comparison Of Glr And Maximal Invariant Detectors Under (2007)
Structured Clutter Covariance, Hyung Soo Kim, Alfred O. Hero
There has been considerable recent interest in applying maximal invariant (MI) hypothesis testing as an alternative to the generalized likelihood ratio (GLR) test. This interest has been motivated by...
Rao, Arvind, Hero, Alfred O., States, David J., Engel, James Douglas
Gene regulation is a complex process involving the role of several genomic elements which work in concert to drive spatio-temporal expression. The experimental characterization of gene regulatory...
Optimal sequential energy allocation for inverse problems,” accepted with minor revisions to (2007)
Raghuram Rangarajan, Student Member, Raviv Raich, Alfred O. Hero
Abstract—This paper investigates the advantages of adaptive waveform amplitude design for estimating parameters of an unknown channel/medium under average energy constraints. We present a...
INVITED PAPER An Information-Based Approach to Sensor Management in Large Dynamic Networks (2006)
M. Kreucher, Alfred O. Hero, Fellow Ieee, Keith D. Kastella, Mark R. Morel
The problem addressed here is surveillance over a large area using remotely-controlled sensors that are managed so that the sensor nodes work together to meet multiple overall goals.
Arvind Rao, Alfred O. Hero, David J. States, James Douglas Engel
The systematic inference of biologically relevant influence networks remains a challenging problem in computational biology. Even though the availability of high-throughput data has enabled us to use...
Optimal sensor scheduling via classification reduction of policy search (2006)
The problem of sensor scheduling in multimodal sensing systems is formulated as the sequential choice of experiments problem and solved via reinforcement learning methods. The sequential choice of...
Zhu, Dongxiao, Hero, Alfred O, Qin, Zhaohui S, Swaroop, Anand
Many exploratory microarray data analysis tools such as gene clustering and relevance networks rely on detecting pairwise gene co-expression. Traditional screening of pairwise co-expression either...
Tracking of Multiple Moving Sources Using Recursive EM Algorithm (2005)
Pei-Jung Chung, Johann F. Böhme, Alfred O. Hero
We deal with recursive direction-of-arrival (DOA) estimation of multiple moving sources. Based on the recursive EM algorithm, we develop two recursive procedures to estimate the time-varying DOA...
Network constrained clustering for gene microarray data (2005)
Gene Expression, Dongxiao Zhu, Alfred O Hero, Hong Cheng, Ritu Khanna
doi:10.1093/bioinformatics/bti655
Multitarget tracking using the joint multitarget probability density (2005)
Chris Kreucher, Keith Kastella, Alfred O. Hero
This work addresses the problem of tracking multiple moving targets by recursively estimating the joint multitarget probability density (JMPD). Estimation of the JMPD is done in a Bayesian framework...
4. Applications 5. Conclusions (2005)
1. The manifold supporting data sample 2. Classification constrained dimension reduction 3. Dimension estimation on smooth manifolds
Sensor network source localization via projection onto convex sets (POCS (2005)
This paper addresses the problem of locating an acoustic source using a sensor network in a distributed manner, i.e., without transmitting the full data set to a central point for processing. This...
On signal detection using the benjamini-hochberg procedure (2005)
Pei-jung Chung, Johann F. Böhme, Christoph F. Mecklenbräuker, Alfred O. Hero
We investigate a multiple hypothesis test designed for detecting signals embedded in noisy observations of a sensor array. The global level of the multiple test is controlled by the false discovery...
Dongxiao Zhu, Alfred O Hero, Zhaohui S Qin
Many exploratory microarray data analysis tools such as gene clustering and relevance networks rely on detecting pairwise gene co-expression. Traditional screening of pairwise co-expression either...
APOCS: A Rapidly Convergent Source Localization Algorithm for Sensor Networks (2005)
This paper addresses the problem of locating an acoustic source using a sensor network in a distributed manner, i.e., without transmitting the full data set to a central point for processing. This...
Tracking of Multiple Moving Sources Using Recursive EM Algorithm (2005)
Pei-Jung Chung, Johann F. Böhme, Alfred O. Hero
We deal with recursive direction-of-arrival (DOA) estimation of multiple moving sources. Based on the recursive EM algorithm, we develop two recursive procedures to estimate the time-varying DOA...
Network constrained clustering for gene microarray data (2005)
Zhu, Dongxiao, Hero, Alfred O., Cheng, Hong, Khanna, Ritu, Swaroop, Anand
Many bioinformatics problems can be tackled from a fresh angle offered by the network perspective. Directly inspired by metabolic network structural studies, we propose an improved gene clustering...
Network constrained clustering for gene microarray data (2005)
Zhu, Dongxiao, Hero, Alfred O, Cheng, Hong, Khanna, Ritu, Swaroop, Anand
Many bioinformatics problems can be tackled from a fresh angle offered by the network perspective. Directly inspired by metabolic network structural studies, we propose an improved gene clustering...
Pareto-Optimal Methods for Gene Ranking (2004)
Hero, Alfred O., Fleury, Gilles
The massive scale and variability of microarray gene data creates new and challenging problems of signal extraction, gene clustering, and data mining, especially for temporal gene profiles. Many data...
The MRFM device is a powerful setup for manipulating single electron spin in resonance in a magnetic field. However, the real time observation of a resonating spin is still an issue because of the...
A Fast Spectral Method for Active 3D Shape Reconstruction (2004)
Variational energy minimization techniques for surface reconstruction are implemented by evolving an active surface according to the solutions of a sequence of elliptic partial differential equations...
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays (2004)
Alfred O. Hero, Gilles Fleury, Alan J. Mears, Anand Swaroop
This paper introduces a statistical methodology for the identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are false discovery...
Shigeo Yoshida A, James S. Friedman, Todd Carter, Shirley He, Edwin Oh, ...
− mouse retina:
Multicriteria gene screening for analysis of differential expression with DNA microarrays (2004)
Alfred O. Hero, Gilles Fleury, Alan J. Mears, Service Des Mesures, Depts Of Ophthalmology, Visual Sciences, ...
Abstract £ This paper introduces a statistical methodology for identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are: false...
Convergent Incremental Optimization Transfer Algorithms: Application to Tomography (2004)
Sangtae Ahn, Jeffrey A. Fessler, Senior Member, Doron Blatt, Alfred O. Hero
No convergent ordered subsets (OS) type image reconstruction algorithms for transmission tomog-raphy have been proposed to date. In contrast, in emission tomography, there are two known families of...
On tests for global maximum of the log-likelihood function (2004)
Doron Blatt, Student Member, Alfred O. Hero
Abstract — Given the location of a relative maximum of the log-likelihood function, how to assess whether it is the global maximum? This paper investigates a statistical tool, which answers this...
Geodesic entropic graphs for dimension and entropy estimation in manifold learning (2004)
Jose A. Costa, Student Member, Alfred O. Hero
Abstract — In the manifold learning problem one seeks to discover a smooth low dimensional surface, i.e., a manifold embedded in a higher dimensional linear vector space, based on a set of measured...
Jindan Yu, Including Drs An, Alan J. Hunt, Tom M. Glaser, Alfred O. Hero, J. Akerley, ...
Transcript profiling of the cone-only Nrl-knockout retina using custom cDNAmicroarrays: identification of novel targets of Nrl and of signaling pathways involved in photoreceptor function
Tracking of Multiple Moving Sources Using Recursive EM Algorithm (2004)
Pei-jung Chung, Johann F. Böhme, Alfred O. Hero
We deal with recursive direction-of-arrival (DOA) estimation of multiple moving sources. Based on the recursive EM algorithm, we develop two recursive procedures to estimate the time-varying DOA...
Convergent Incremental Optimization Transfer Algorithms: Application to Tomography (2004)
Sangtae Ahn, Jeffrey A. Fessler, Doron Blatt, Alfred O. Hero
Abstract — No convergent ordered subsets (OS) type image reconstruction algorithms for transmission tomography have been proposed to date. In contrast, in emission tomography, there are two known...
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays (2004)
Anand Swaroop, Alan J. Mears, Gilles Fleury, Alfred O. Hero
This paper introduces a statistical methodology for the identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are false discovery...
Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays (2004)
Alfred O. Hero, Gilles Fleury, Alan J. Mears, Anand Swaroop
This paper introduces a statistical methodology for the identification of differentially expressed genes in DNA microarray experiments based on multiple criteria. These criteria are false discovery...
Yoshida, Shigeo, Mears, Alan J., Friedman, James S., Carter, Todd, He, Shirley, Oh, Edwin, ...
The rod photoreceptor-specific neural retina leucine zipper protein Nrl is essential for rod differentiation and plays a critical role in regulating gene expression. In the mouse retina, rods account...
Yoshida, Shigeo, Mears, Alan J., Friedman, James S., Carter, Todd, He, Shirley, Oh, Edwin, ...
The rod photoreceptor-specific neural retina leucine zipper protein Nrl is essential for rod differentiation and plays a critical role in regulating gene expression. In the mouse retina, rods account...
Yoshida, Shigeo, Mears, Alan J., Friedman, James S., Carter, Todd, He, Shirley, Oh, Edwin, ...
The rod photoreceptor-specific neural retina leucine zipper protein Nrl is essential for rod differentiation and plays a critical role in regulating gene expression. In the mouse retina, rods account...
Yip, Chun-yu, Hero, Alfred O., Rugar, Daniel, Fessler, Jeffrey A.
In single spin Magnetic Resonance Force Microscopy (MRFM), the objective is to detect the presence of an electron (or nuclear) spin in a sample volume by measuring spin-induced attonewton forces...
Multitarget sensor management using alpha divergence measures (2003)
Chris Kreucher, Keith Kastella, Alfred O. Hero
Abstract. This paper presents a sensor management scheme based on maximizing the expected Rényi Information Divergence at each sample, applied to the problem of tracking multiple targets. The...
Asymptotic relations between minimal graphs and alpha entropy (2003)
Alfred O. Hero, Jose A. Costa, Bing Ma
This report is concerned with power-weighted weight functionals associated with a minimal graph spanning a random sample of n points from a general multivariate Lebesgue density f over [0, 1] d. It...
High rate vector quantization for detection (2003)
Riten Gupta, Alfred O. Hero, Prof Alfred, O. Hero
Weinvestigate high rate quantization for various detection and reconstruction loss criteria. A new distortion measure is introduced which accounts for global loss in best attainable binary hypothesis...
Secure space-time communication (2003)
Alfred O. Hero, Professor Alfred, O. Hero Iii
Network security is important for information protection in open, secure or covert wireless communications. One such requirement is to achieve high rate communications between clients in the network...
Relative Location Estimation in Wireless Sensor Networks (2003)
Neal Patwari, Alfred O. Hero, Matt Perkins, Neiyer S. Correal, Robert J. O'dea, ...
Self-configuration in wireless sensor networks is a general class of estimation problems which we study via the Cramer-Rao bound (CRB). Specifically, we consider sensor location estimation when...
Suboptimality of the Truncated SVD for Ill-Conditioned Inverse Problems (2003)
Jeffrey A. Fessler, Alfred O. Hero
(Accepted to IEEE T-IP in 1995 but withdrawn by authors.) The truncated singular value decomposition (SVD) is a popular method for computing regularized estimates in ill-posed inverse problems. This...
Convergence Rates of Minimal Graphs with Random Vertices (2003)
Alfred O. Hero, Jose A. Costa, Bing Ma
This paper is concerned with power-weighted weight functionals associated with a minimal graph spanning a random sample of n points from a general multivariate Lebesgue density f over [0, 1] . It is...
Relative Location Estimation in Wireless Sensor Networks (2003)
Neal Patwari, Alfred O. Hero III, Alfred O. Hero, Matt Perkins, Robert J. O'Dea, Neiyer S. Correal, ...
Self-configuration in wireless sensor networks is a general class of estimation problems that we study via the Cramr--Rao bound (CRB). Specifically, we consider sensor location estimation when...
Kashif I. Siddiqui, Alfred O. Hero, Matheen M. Siddiqui
Abstract—DNA microarray technology is a very powerful technique used in modern biology which is extensively used for identification of sequence (gene/gene mutation) and determination of gene...
Environmental Issues for MIMO Capacity (2002)
Daniel W. Bliss, Keith W. Forsythe, Alfred O. Hero, Ali F. Yegulalp
Wireless communication using multiple-input multiple -output (MIMO) systems enables increased spectral efficiency for a given total transmit power. Increased capacity is achieved by introducing...
Emission Tomography from Compressed Data (2002)
Thomas J. Kragh, Alfred O. Hero
In emission tomographic modalities such as SPECT or PET various regions of the detector space yield different amounts of information about the emission source. This paper develops a framework for...
Alpha divergence for classification, indexing and retrieval (2001)
Alfred O. Hero, Bing Ma, Olivier Michel, John Gorman
Motivated by Chernoff’s bound on asymptotic probability of error we propose the alpha-divergence measure and a surrogate, the alpha-Jensen difference, for feature classification, indexing and...
The solution of elliptic partial differential equations arises in 3D surface reconstruction and active contours. Most current approaches are iterative including finite element methods (FEM) and...
Alpha divergence for classification, indexing and retrieval (2001)
Alfred O. Hero, Bing Ma, Olivier Michel, John Gorman
Motivated by Chernoff’s bound on asymptotic probability of error we propose the alpha-divergence measure and a surrogate, the alpha-Jensen difference, for feature classification, indexing and...
The solution of elliptic partial differential equations arises in 3D surface reconstruction and active contours. Most current approaches are iterative including finite element methods (FEM) and...
Word Spotting in Bitmapped Fax Documents (2000)
Williams, William J., Zalubas, Eugene J., Hero, Alfred O.
Images and signals may be represented by forms invariant to time shifts, spatial shifts, frequency shifts, and scale changes. Advances in time-frequency analysis and scale transform techniques have...
Hyung Soo Kim, Hyung Soo Kim, Alfred O. Hero, Alfred O. Hero
This paper addresses a target detection problem for which the covariance matrix of the unknown Gaussian clutter background has block diagonal structure. This block diagonal structure is the...
Cut-off Rate and Signal Design for the Rayleigh Fading Space-Time Channel (2000)
Alfred O. Hero, Thomas L. Marzetta, Professor Alfred, O. Hero Iii
We consider the computational cut-o rate and its implications on signal design for the complex Rayleigh at fading spatio-temporal channel under a peak power constraint. When the analysis is...
Pavement Boundary Detection Via Circular Shape Models (2000)
Bing Ma Sridhar, Bing Ma, Sridhar Lakshmanan, Alfred O. Hero
enabling technology in a number of intelligent vehicle applications. Many state of art systems for detecting and tracking pavement boundaries use a priori shape models to describe the appearance of...
Rényi Information Divergence via Measure Transformations on Minimal Spanning Trees (2000)
| We apply the results of [2] to estimation of Renyi I-divergence between an unknown distribution and a known reference distribution using power weighted pruned minimal graphs spanning a random...
Détection de structures dans le plan temps-fréquence à l'aide de graphes minimaux (1999)
MICHEL, Olivier, FLANDRIN, Patrick, HERO, Alfred O.
Après avoir rapidement rappelé un ensemble de définitions, nous présentons quelques résultats récents montrant l'intérêt des graphes de représentation minimaux dans le cadre des problèmes...
Alfred O. Hero, Robinson Piramuthu, Student Member, Jeffrey A. Fessler, Steven R. Titus
In this paper a minimax methodology is presented for combining information from two imaging modalities having different intrinsic spatial resolutions. The focus application is emission computed...
Stability Bounds on Step-Size for the Partial Update LMS Algorithm (1999)
Mahesh Godavarti, Alfred O. Hero
Partial updating of LMS filter coefficients is an effective method for reducing the computational load and the power consumption in adaptive filter implementations. Only in the recent past has any...
Asymptotic theory of greedy approximations to minimal K-point random graphs (1999)
Let Xn = {x_1, ..., x_n}, be an i.i.d. sample having multivariate distribution P . We derive a.s. limits for the power weighted edge weight function of greedy approximations to a class of minimal...
Scale and Translation Invariant Methods for Enhanced Time-Frequency Pattern Recognition (1998)
Williams, William J., Zalubas, Eugene J., Nickel, Robert M., Hero, Alfred O.
Time-frequency (t-f) analysis has clearly reached a certain maturity. One can now often provide striking visual representations of the joint time-frequency energy representation of signals. However,...
Robust entropy estimation strategies based on edge weighted random graphs (1998)
Alfred O. Hero, Olivier Michel
In this paper we treat the problem of robust entropy estimation given a multidimensional random sample from an unknown distribution. In particular, we consider estimation of the Renyi entropy of...
Generalized proximal point algorithms and bundle implementations (1998)
In this paper, we present a study of the proximal point algorithm using very general regularizations for minimizing possibly nondierentiable and nonconvex locally Lipschitz functions. We deduce from...
Kullback proximal algorithms for maximum likelihood estimation (1998)
Accelerated algorithms for maximum likelihood image reconstruction are essential for emerging applications such as 3D tomography, dynamic tomographic imaging, and other high dimensional inverse...
Turbo codes for fading and burst channels (1998)
Joseph H. Kang, Wayne E. Stark, Alfred O. Hero
In this paper, turbo codes are investigated in fading and burst channels. In particular, we consider the design and performance of turbo codes for a GilbertElliot burst channel and in a realistic...
Power vs. Performance Tradeoffs for Reduced Resolution LMS Adaptive Filters (1998)
Riten Gupta, Alfred O. Hero, List Of Figures
Low power implementation of digital adaptive filters for channel equalization and interference cancelling is an important aspect of wireless communications transceiver design. In this paper we...
Generalized Proximal Point Algorithms and Bundle Implementations (1998)
In this paper, we present a study of the proximal point algorithm using very general regularizations for minimizing possibly nondierentiable and nonconvex locally Lipschitz functions. We deduce from...
Asymptotic theory of greedy approximations to minimal K-point random graphs (1998)
Let Xn = fx1 ; : : : ; xng, be an i.i.d. sample having multivariate distribution P on [0; 1] d . We derive a.s. limits for the power weighted edge weight function of greedy approximations to a class...
Power vs. Performance Tradeoffs for Reduced Resolution LMS Adaptive Filters (1998)
Riten Gupta, Alfred O. Hero, List Of Figures
Low power implementation of adaptive filters for channel equalization and interference cancelling is important for wireless communications transceivers. In this paper we obtain asymptotic expressions...
Theory And Implementation Of Minimax ECT Image Reconstruction With MRI Side Information (1998)
Robinson Piramuthu, Steve R. Titus, Jeffrey A. Fessler, Alfred O. Hero, Alfred O. Hero
In this report a minimax methodology is presented for combining information from two imaging modalities having different intrinsic spatial resolutions. The focus application is emission computed...
Generalized Proximal Point Algorithms and Bundle Implementations (1998)
In this paper, we present a study of the proximal point algorithm using very general regularizations for minimizing possibly nondierentiable and nonconvex locally Lipschitz functions. We deduce from...
Alfred O. Hero, Robinson Piramuthu, Jeffrey A. Fessler, Steven R. Titus
In this paper a minimax methodology is presented for combining information from two imaging modalities having different intrinsic spatial resolutions. The focus application is emission computed...
Detection of curved road edges in radar images via deformable templates (1997)
Bing Ma, Sridhar Lakshmanan, Alfred O. Hero
Three methods of detecting road edges in millimeterwave radar images are presented in this paper. All of them are based on deformable template priors and random field likelihoods. The first method is...
System modeling and spatial sampling techniques for simplification of transition matrix (1997)
Anne C. Sauve, Alfred O. Hero, W. Leslie Rogers, Neal H. Clinthorne
In this paper we will present numerical studies of the performance of a 3D Compton camera being developed at the University of Michigan. We present a physical model of the camera which exploits...
Shift and Scale Invariant Detection (1997)
Eugene J. Zalubas, Jeffrey C. O'neill, William J. Williams, Alfred O. Hero
Different signal realizations generated from a given source may not appear the same. Time shifts, frequency shifts, and scales are among the signal variations commonly encountered. Time-frequency...
Exploring estimator bias-variance tradeoffs using the uniform CR bound (1996)
Alfred O. Hero, Jeffrey A. Fessler, Mohammad Usman
We introduce a plane, which we call the delta-sigma plane, that is indexed by the norm of the estimator bias gradient and the variance of the estimator. The norm of the bias gradient is related to...
A Maximum Likelihood CDMA Receiver Using the EM Algorithm and the Discrete Wavelet Transform (1996)
A Maximum Likelihood (ML) method for joint estimation of amplitude, phase, time delay, and data demodulation in a single-user direct sequence spread spectrum communication system is developed. The...
Recursive Algorithms for Computing the Cramer-Rao Bound (1996)
Alfred O. Hero, Mohammad Usman, Anne C. Sauve, Jeffrey A. Fessler
Computation of the Cramer-Rao bound #CRB# on estimator variance requires the inverse or the pseudo-inverse Fisher information matrix #FIM#. Direct matrix inversion can be computationally intractable...
An Iterative Solution to the Min-Max Simultaneous Detection and Estimation Problem (1996)
Min-max simultaneous signal detection and parameter estimation requires the solution to a nonlinear optimization problem. Under certain conditions, the solution can be obtained by equalizing the...
Exploring Estimator Bias-Variance Tradeoffs Using the Uniform CR Bound (1996)
Alfred O. Hero, Jeffrey A. Fessler, Mohammad Usman
We introduce a plane, which we call the delta-sigma plane, that is indexed by the norm of the estimator bias gradient and the variance of the estimator. The norm of the bias gradient is related to...
Word Spotting Via Spatial Point Processes (1996)
Jeffrey C. O'neill, Alfred O. Hero, William J. Williams
This paper presents a statistically based method for spotting target words in documents. The crux of the method is the representation of a word by a spatial (planar) point process evolving on a...
Jeffrey A. Fessler, Alfred O. Hero
Most expectation-maximization (EM) type algorithms for penalized maximum-likelihood image reconstruction converge slowly, particularly when one incorporates additive background effects such as...
Spread-spectrum sequence estimation and bit synchronization using an EM-type algorithm (1995)
Maximum Likelihood (ML) estimation method for simultaneous amplitude, time delay, and data demodulation in direct sequence spread spectrum communication is proposed. The likelihood function is...
Convergence in Norm for Alternating Expectation-Maximization (EM) Type Algorithms (1995)
Alfred O. Hero, Jeffrey A. Fessler
We provide a sufficient condition for convergence of a general class of alternating estimationmaximization (EM) type continuous-parameter estimation algorithms with respect to a given norm. This...
Jeffrey A. Fessler, Alfred O. Hero
Most expectation-maximization (EM) type algorithms for penalized maximum-likelihood image reconstruction converge slowly, particularly when one incorporates additive background effects such as...
Convergence in Norm for Alternating Expectation-Maximization (EM) Type Algorithms (1995)
Alfred O. Hero, Jeffrey A. Fessler
We provide a sufficient condition for convergence of a general class of alternating estimationmaximization (EM) type continuous-parameter estimation algorithms with respect to a given norm. This...
Convergence in norm for alternating expectation-maximization (em) type algorithms (1995)
We provide a su cient condition for convergence of a general class of alternating estimationmaximization (EM) type continuous-parameter estimation algorithms with respect to a given norm. This class...
Recursive algorithms for computing the Cramer-Rao bound (1994)
Alfred O. Hero, Mohammad Usman, Anne C. Sauve, Jeffrey A. Fessler
Computation of the Cramer-Rao bound (CRB) on estimator variance requires the inverse or the pseudo-inverse Fisher information matrix (FIM). Direct matrix inversion can be computationally intractable...
Recursive algorithms for computing the Cramer-Rao bound (1994)
Alfred O. Hero, Mohammad Usman, Anne C. Sauve, Jerey A. Fessler
Computation of the Cramer-Rao bound (CRB) on estimator variance requires the inverse or the pseudo-inverse Fisher information matrix (FIM). Direct matrix inversion can be computationally intractable...
Bias-variance tradeoffs analysis using uniform CR bound for image reconstruction (1994)
Mohammad Usman, Alfred O. Hero, Jeffrey A. Fessler, W. L. Rogers
We quantify fundamental bias-variance tradeoffs for the image reconstruction problem in radio-pharmaceutical tomography using Cramer-Rao (CR) bound analysis. The image reconstruction problem is very...
Space-Alternating Generalized Expectation-Maximization Algorithm (1994)
Jeffrey A. Fessler, Alfred O. Hero
The expectation-maximization (EM) method can facilitate maximizing likelihood functions that arise in statistical estimation problems. In the classical EM paradigm, one iteratively maximizes the...
Bias-Variance Tradeoffs Analysis Using Uniform CR Bound For a SPECT System (1994)
Mohammad Usman, Alfred O. Hero, Jeffrey A. Fessler, W. L. Rogers
We quantify fundamental bias-variance tradeoffs for the image reconstruction problem in radio-pharmaceutical tomography using Cramer-Rao (CR) bound analysis. The image reconstruction problem is very...
Jeffrey A. Fessler, Jeffrey A. Fessler, Alfred O. Hero, Alfred O. Hero
Most expectation-maximization (EM) type algorithms for penalized maximum-likelihood image reconstruction converge particularly slowly when one incorporates additive background effects such as...
Jeffrey A. Fessler, Jeffrey A. Fessler, Alfred O. Hero, Alfred O. Hero
Most expectation-maximization (EM) type algorithms for penalized maximum-likelihood image reconstruction converge particularly slowly when one incorporates additive background effects such as...
Asymptotic convergence properties of em-type algorithms (1993)
Alfred O. Hero, Jeffrey A. Fessler
We analyze the asymptotic convergence properties of a general class of EM-type algorithms for estimating an unknown parameter via alternating estimation and maximization. As examples, this class...
New Complete-Data Spaces and Faster Algorithms for Penalized-Likelihood Emission Tomography (1993)
Jeffrey Fessler, Alfred O. Hero
The classical expectation-maximization (EM) algorithm for image reconstruction suffers from particularly slow convergence when additive background effects such as accidental coincidences and scatter...
Asymptotic convergence properties of em-type algorithms (1993)
We analyze the asymptotic convergence properties of a general class of EM-type algorithms for estimating an unknown parameter via alternating estimation and maximization. As examples, this class...
Thomas J. Kragh, Alfred O. Hero
In image reconstruction and restoration, there exists an inherent tradeoff between the recovered spatial resolution and statistical variance: lower variance can be bought at the price of decreased...
Thomas J. Kragh, Alfred O. Hero
In image reconstruction and restoration, there exists an inherent tradeoff between the recovered spatial resolution and statistical variance: lower variance can be bought at the price of decreased...
Thomas J. Kragh, Alfred O. Hero
In image reconstruction and restoration, there exists an inherent tradeoff between the recovered spatial resolution and statistical variance: lower variance can be bought at the price of decreased...
Abstract--- Adaptive channel equalization algorithms are commonly used in wireless communications receivers to counter intersymbol interference, multi-path dispersion, and other time varying channel...
LIBERALISM-CONSERVATISM REVISITED: FOREIGN VS. DOMESTIC FEDERAL POLICIES, 1937-1967 (1969)
This article addresses itself to the following questions: To what extent have the policy preferences of American citizens in foreign affairs been projections of, or at least related to, their views...
LIBERALISM-CONSERVATISM REVISITED: FOREIGN VS. DOMESTIC FEDERAL POLICIES, 1937-1967 (1969)
This article addresses itself to the following questions: To what extent have the policy preferences of American citizens in foreign affairs been projections of, or at least related to, their views...
Allied military government in Japan, 2 September, 1945-1 January, 1950 /--Alred O. Hero. (1950)
Typescript.
On Computational Cut-off Rate for Space-Time Coding
Alfred O. Hero, Thomas L. Marzetta
We consider the computational cut-o rate for the complex Rayleigh at fading spatio-temporal channel under a peak power constraint, where the propagation matrix is unknown at both transmitter and...