Extracting Dynamic Microtubule Features from Image Sequences (2009)
Alphan Altınok, M. Emre, Kenneth Rose
Microtubules (MT) are filamentous cytoskeletal structures composed of tubulin protein subunits. Through their dynamic behaviors, they participate in many essential cellular functions. MT dynamics are...
CODE DESIGN FOR FAST SELECTIVE RETRIEVAL OF FUSION STORED SENSOR-NETWORK/TIME-SERIES DATA (2009)
Sharadh Ramaswamy, Jayanth Nayak, Kenneth Rose
We consider the problem of storing data from multiple correlated sources in a database, so as to enable ef�cient future retrieval of data from select subsets of the sources, where only statistical...
Correlated source coding for fusion storage and selective retrieval (2009)
Jayanth Nayak, Sharadh Ramaswamy, Kenneth Rose
Abstract — Motivated by the sensor network setting, we consider lossless storage of correlated discrete memoryless sources. The underlying tradeoff is between exploitation of inter-source...
Jean-luc Dugelay, Kenneth Rose, Jean-luc Dugelay, Kenneth Rose, Marc Moonen Belgium, M. Reha Civanlar, ...
articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract CPSC 526- Group Project Motion Signal Processing (2008)
Xianglong Chang, Kenneth Rose, Hagit Schechter
This project is an implementation of the ideas described in Motion Signal Processing [Bruderlin and Williams 1995] in which techniques from the image and signal processing domains are applied to...
On Hierarchical Type Covering (2008)
Ertem Tuncel, Jayanth Nayak, Kenneth Rose
This paper focuses on a significant distinction between two hierarchical type covering strategies, namely, weak and strong covering, and on the impact of this distinction on known results. In...
Motion-compensated prediction that accounts for loss in the channel is achieved by the source-channel prediction (SCP) method, which is based on the expected decoder reconstruction of past frames...
Lossy Source Coding under a Maximum Distortion Constraint with Decoder Side-Information (2008)
Jayanth Nayak, Ertem Tuncel, Kenneth Rose
We consider the problem of variable length coding of sources where every sample needs to be reconstructed within a certain distortion using side-information available solely at the decoder. We derive...
Optimal End-to-end Distortion Estimation for Drift Management in Scalable Video Coding (2008)
Hua Yang, Rui Zhang, Kenneth Rose
This paper is concerned with performance optimization of point-to-point communication of scalable video over lossy networks. The premise of the work is: (i) Decoder drift due to prediction should be...
Multistage Vector Quantizer Optimization for Packet Networks (2008)
Abstract—A multistage vector quantizer (MSVQ) based coding system is source-channel optimized for packet networks. Resilience to packet loss is enhanced by a proposed interleaving approach that...
EFFECTIVE HIGH FREQUENCY REGENERATION BASED ON SINUSOIDAL MODELING FOR MPEG-4 HE-AAC (2008)
A novel approach is proposed for effective high frequency regeneration in audio coding, which is based on a sinusoids plus noise model. It assumes a standard high efficiency advanced audio coding...
Efficient Bit-Rate Scalability for Weighted Squared Error Optimization in Audio Coding (2008)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
Abstract—We propose two quantization techniques for improving the bit-rate scalability of compression systems that optimize a weighted squared error (WSE) distortion metric. We show that...
A Trellis-Based Optimal Parameter Value Selection for Audio Coding (2008)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
Abstract—This paper considers the problem of selecting a set of parameter values from a given parameter space, in order to perform rate-distortion optimization in the context of audio compression....
PERCEPTUAL ZEROTREES FOR SCALABLE WAVELET CODING OF WIDEBAND AUDIO (2008)
Ashish Aggarwal, Vladimir Cuperman, Kenneth Rose, Allen Gersho
This paper introduces a new algorithm for scalable coding of wideband audio signals. The technique is based on quantization of bi-orthogonal wavelet transformed coefficients using a perceptual...
AN MDCT DOMAIN FRAME-LOSS CONCEALMENT TECHNIQUE FOR MPEG ADVANCED AUDIO CODING (2008)
We propose a frame loss concealment technique for decoders compatible with MPEG advanced audio coding (AAC). The spectral information of the lost frame is estimated in the modified discrete cosine...
ENCODER ASSISTED FRAME LOSS CONCEALMENT FOR MPEG-AAC DECODER (2008)
Sang-uk Ryu, Eddie Choy, Kenneth Rose
This paper proposes an efficient method for frame loss concealment within the advanced audio coding (AAC) decoder, which can effectively mitigate the adverse impact of transmission errors on the...
NEAREST-PROTOTYPE CLASSIFIER DESIGN BY DETERMINISTIC ANNEALING WITH RANDOM CLASS LABELS ∗ (2007)
The design of nearest-prototype (NP) classifiers is a challenging problem because of the prevalence of poor local minima, and the piecewise constant nature of the cost function which is incompatible...
Robust Video Compression for Time-Varying Wireless Channels (2007)
Shankar L. Regunathan, Kenneth Rose
We investigate joint source-channel coding for transmission of video over time-varying channels. We assume that the channel state is known at the receiver, but only statistical description of the...
Ajit Rao, David Miller, Kenneth Rose, Allen Gersho
We present a new approach to optimizing a piecewise regression model given a noisy training set of domainrange vector pairs obtained from some unknown, underlying function. The main focus is on two...
A Maximum Entropy Approach For Optimal Statistical Classification (2007)
David Miller, Ajit Rao, Kenneth Rose, Allen Gersho
A global optimization technique is introduced for statistical classifier design to minimize the probability of classification error. The method, which is based on ideas from information theory and...
Towards Optimal Scalability in Predictive Video Coding (2007)
Kenneth Rose, Shankar L. Regunathan
We propose a method for efficient SNR scalability in predictive video coding which overcomes the known fundamental difficulties due to the prediction loop. The method is generally applicable to any...
Robust Video Compression for Time-Varying Wireless Channels (2007)
Shankar Regunathan And, Shankar L. Regunathan, Kenneth Rose
We investigate joint source-channel coding for transmission of video over time-varying channels. We assume that the channel state is known at the receiver, but only statistical description of the...
Motion Compensation by Adaptive Vector Quantization (2007)
Shankar L. Regunathan, Kenneth Rose
We propose an efficient motion compensation scheme where adaptive vector quantization (AVQ) is used to optimally compress the dense motion field. The vector quantizer codebook is designed on-line by...
Combined Parameter Training and Reduction in Tied-Mixture HMM Design (2007)
A tied-mixture HMM speech recognizer design approach is proposed, which combines parameter training with parameter reduction. The procedure starts by training a system with a large universal codebook...
NEAR-OPTIMAL SELECTION OF ENCODING PARAMETERS FOR AUDIO CODING (2007)
Ashish Aggarwal, Shankar L. Rcgunathan, Kenneth Rose
We address the issue of optimizing side information rate for efficient audio coding. In coders such as the MPEG-4 AAC, at rates around 16kbps to 48kbps, the side information rate forms a substantial...
Deterministic annealing, clustering, and optimization (2007)
This work introduces the concept of deterministic annealing (DA) as a useful approach to clustering and other related optimization problems. It is strongly motivated by analogies to statistical...
Model based dynamics analysis in live cell microtubule images (2007)
Altınok, Alphan, Kiris, Erkan, Peck, Austin J, Feinstein, Stuart C, Wilson, Leslie, Manjunath, BS, ...
Abstract Background The dynamic growing and shortening behaviors of microtubules are central to the fundamental roles played by microtubules in essentially all eukaryotic cells. Traditionally,...
Bomuld! Penge eller lommeuld, et casestudie af Mali (2006)
Galløe, Emil Halkjær, Van Tilburg, Thijs, Rose, Kenneth
I dette projekt analyseres grundlaget for vækst ved et liberaliseret verdensmarked, konkretiseret med bomuldssektoren i det afrikanske land Mali. Her er tale om et casestudie, som beskrevet af både...
Bomuld! Penge eller lommeuld, et casestudie af Mali (2006)
Galløe, Emil Halkjær, Van Tilburg, Thijs, Rose, Kenneth
I dette projekt analyseres grundlaget for vækst ved et liberaliseret verdensmarked, konkretiseret med bomuldssektoren i det afrikanske land Mali. Her er tale om et casestudie, som beskrevet af både...
Activity analysis in microtubule videos by mixture of hidden markov models (2006)
Alphan Altınok, Motaz El-saban, Austin J. Peck, Leslie Wilson, Stuart C. Feinstein, B. S. Manjunath, ...
We present an automated method for the tracking and dynamics modeling of microtubules-a major component of the cytoskeleton- which provides researchers with a previously unattainable level of data...
Mesh parameterization methods and their applications (2006)
Alla Sheffer, Emil Praun, Kenneth Rose
We present a survey of recent methods for creating piecewise linear mappings between triangulations in 3D and simpler domains such as planar regions, simplicial complexes, and spheres. We also...
Motion Estimation for Coding Efficiency (2005)
Hua Yang, Kenneth Rose, Rate-constrained Me
� Motion estimation for error resilience � Proposed end-to-end distortion based RDME
Florent Perronnin, Jean-luc Dugelay, Senior Member, Kenneth Rose
Abstract—This paper proposes a new measure of “distance ” between faces. This measure involves the estimation of the set of possible transformations between face images of the same person. The...
A Probabilistic Model for Face Transformation with Application to Person Identification (2004)
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
A novel approach for content-based image retrieval and its specialization to face recognition are described. While most face recognition techniques aim at modeling faces, our goal is to model the...
Enrico Masala, Hua Yang, Kenneth Rose, Juan Carlos, De Martin
This paper presents an algorithm to optimize the tradeoff between rate and expected end-to-end distortion of a video sequence transmitted over a packet network. The approach optimizes the source...
A Probabilistic Model for Face Transformation with Application to Person Identification (2004)
Kenneth Rose, Jean-Luc Dugelay, Florent Perronnin
A novel approach for content-based image retrieval and its specialization to face recognition are described. While most face recognition techniques aim at modeling faces, our goal is to model the...
A Probabilistic Model for Face Transformation with Application to Person Identification (2004)
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
A novel approach for content-based image retrieval and its specialization to face recognition are described. While most face recognition techniques aim at modeling faces, our goal is to model the...
Predictive Vector Quantizer Design Using Deterministic Annealing (2003)
Abstract—A new approach is proposed for predictive vector quantizer (PVQ) design, which is inherently probabilistic, and is based on ideas from information theory and analogies to statistical...
Error exponents in scalable source coding (2003)
Abstract — We extend the error exponent results to 2layer scalable source coding. We consider separate error events at each layer so as to allow a trade-off analysis for the error exponents when...
Sub-state Tying With Combined Parameter Training and Bibliography 255 Reduction (2002)
Liang Gu, Kenneth Rose, Senior Member
Abstract—Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate tying at...
Perceptual harmonic cepstral coefficients as the front-end for speech recognition (2001)
Perceptual harmonic cepstral coefficients (PHCC) are proposed as features to extract from speech for recognition in noisy environments. A weighting function, which depends on the prominence of the...
Robust predictive vector quantizer design (2001)
The design of predictive quantizers generally suffers from ditTiculties due to the prediction loop, which have an impact on the convergence and the stability of the design procedure. We recently...
Asymptotically optimal scalable coding for minimum weighted mean square error (2001)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
In this paper, we derive an asymptotically optimal multi-layer coding scheme for entropy-coded scalar quantizers (S0) that minimizes the weighted mean-squared error (WMSE). The optimal entropy-coded...
Commander Domain Approach to Scalable AAC (2001)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
This convention paper has been reproduced from the author's advance manuscript, without editing, corrections, or consideration by the Review Board. The AES takes no responsibility for the...
Perceptual Harmonic Cepstral Coefficients for Speech Recognition in Noisy Environment (2001)
Perceptual harmonic cepstral coefficients (PHCC) are proposed as features to extract from speech for recognition in noisy environments. A weighting function, which depends on the prominence of the...
Prescient mode selection for robust video coding (2001)
Rui Zhang, Shankar L. Regunathan, Kenneth Rose
In standard predictive video coders, intra-mode coding of macroblocks (MBs) provides packet loss resilience, at the cost of reduced compression efficiency. Conventional mode selection algorithms are...
Distributed Beamforming, Kannan Ramchandran, Kenneth Rose, Raghuraman Mudumbai, Advisor Prof, Upamanyu Madhow
Copyright c ○ 2007 by
Natural Type Selection in Adaptive Lossy Compression (2000)
Consider approximate (lossy) matching of a source string P , with a random codebook generated from reproduction distribution Q, at a specified distortion d. Recent work determined the minimum coding...
A String Matching Interpretation for the Arimoto-Blahut Algorithm (1999)
The Arimoto-Blahut (AB) algorithm is an iterative procedure for computing the rate-distortion function for a given source and distortion measure. It starts with an arbitrary (strictly positive)...
The deterministic annealing approach to clustering and its extensions has demonstrated substantial performance improvement over standard supervised and unsupervised learning methods in a variety of...
Constrained-storage vector quantization with a universal codebook (1998)
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
Abstract — Many image compression techniques require the quantization of multiple vector sources with significantly different distributions. With vector quantization (VQ), these sources are...
Kenneth Rose, Peng Wu and Shankar L. Regunathan (1998)
Kenneth Rose, Peng Wu, Shankar L. Regunathan
A new method is proposed for e#cient SNR scalability in predictive video coding. It is of low complexity, and it is applicable to standard DCT-based video compression with motion compensation....
Ajit Rao, Kenneth Rose, Allen Gersho
We attack the general problem of HMM-based speech recognizer design, and in particular, the problem of isolated letter recognition in the presence of background noise. The standard design method...
A type generator model for adaptive lossy compression (1997)
Abstract--- We propose a random coding model which gives insight into the underlying mechanism of lossy string-matching algorithms. This idealized model is based on manipulating types rather than...
A deterministic annealing approach to discriminative hidden Markov model design (1997)
Cecile Gelin-huet, Kenneth Rose, Ajit Rao
We propose a deterministic annealing (DA) algorithm to design classifiers based on continuous observation hidden Markov models. The algorithm belongs to the class of minimum classification error...
Mixture of experts regression modeling by deterministic annealing (1997)
Ajit V. Rao, Student Member, David Miller, Kenneth Rose, Allen Gersho
Abstract—We propose a new learning algorithm for regression modeling. The method is especially suitable for optimizing neural network structures that are amenable to a statistical description as...
Deterministically Annealed Mixture Of Experts Models For Statistical Regression (1997)
Ajit Rao, David Miller, Kenneth Rose, Allen Gersho
We attack the problem of statistical regression function design for the class of mixture models which includes the hierarchical mixture of experts (HME) and the normalized radial basis functions...
Multimode Image Coding for Noisy Channels (1997)
Shankar L. Regunathan, Kenneth Rose, Shrinivas Gadkari
We attack the problem of robust and efficient image compression for transmission over noisy channels. To achieve the dual goals of high compression efficiency and low sensitivity to channel noise we...
A global optimization technique for statistical classifier design (1996)
David Miller, Ajit Rao, Kenneth Rose, Allen Gersho
A global optimization method is introduced for the design of statistical classifiers that minimize the rate of misclassification. We first derive the theoretical basis for the method, based on which...
A Generalized VQ Method for Combined Compression and Estimation (1996)
Ajit Rao, David Miller, Kenneth Rose, Allen Gersho
In vector quantization, one approximates an input random vector, Y, by choosing from a finite set of values known as the codebook. We consider a more general problem where one may not have direct...
Towards Lossy Lempel-Ziv: Natural Type Selection (1996)
Ram Zamir And, Ram Zamir, Kenneth Rose
We present a sequential lossy compression algorithm, almost all of whose dictionary strings are asymptotically of the same type as the ratedistortion achieving reproduction distribution, and whose...
An Information-theoretic Learning Algorithm for Neural Network Classification (1995)
David J. Miller, Ajit Rao, Kenneth Rose, Allen Gersho
A new learning algorithm is developed for the design of statistical classifiers minimizing the rate of misclassification. The method, which is based on ideas from information theory and analogies to...
An Information-theoretic Framework for Optimization with Application to Supervised Learning (1995)
David Miller, Ajit Rao, Kenneth Rose, Allen Gersho
ble assignments, P [x1 2 C j(1) ; : : : ; xN 2 C j(N) ], and choose it to minimize the expected assignment cost ! E ?, given a constraint on Shannon's entropy, H. Thus, we seek the best random...
Constrained-Storage Vector Quantization with a Universal Codebook (1995)
Sangeeta Ramakrishnan, Kenneth Rose, Allen Gersho
Many compression applications consist of compressing multiple sources with significantly different distributions. In the context of vector quantization (VQ) these sources are typically quantized...
Constrained clustering as an optimization method (1993)
Kenneth Rose, Eitan Gurewitz, Geoffrey C. Fox
Abstract-Our deterministic annealing approach to clustering is derived on the basis of the principle of maximum entropy, is independent of the initial state, and produces natural hier-archical...
Deterministic annealing, clustering, and optimization (1990)
This work introduces the concept of deterministic annealing (DA) as a useful approach to clustering and other related optimization problems. It is strongly motivated by analogies to statistical...
Model based dynamics analysis in live cell microtubule images
Altınok, Alphan, Kiris, Erkan, Peck, Austin J, Feinstein, Stuart C, Wilson, Leslie, Manjunath, BS, ...
Efficient Snr-Scalability In Predictive Video Coding
Kenneth Rose, Peng Wu, Shankar L. Regunathan
A new method is proposed for efficient SNR scalability in predictive video coding. It is of low complexity, and it is applicable to standard DCT-based video compression with motion compensation....
Economics of Electricity Self-Generation by Industrial Firms
Kenneth Rose, John F. McDonald
This study develops, and econometrically tests, a model explaining the relative importance of several key economic and engineering factors that industrial firms consider when deciding whether to...