A Spectral Graph Approach to Discovering Genetic Ancestry (2009)
Lee, Ann B., Luca, Diana, Roeder, Kathryn
Mapping human genetic variation is fundamentally interesting in fields such as anthropology and forensic inference. At the same time patterns of genetic diversity confound efforts to determine the...
High-Dimensional Density Estimation via SCA: An Example in the Modelling of Hurricane Tracks (2009)
Buchman, Susan M., Lee, Ann B., Schafer, Chad M.
We present nonparametric techniques for constructing and verifying density estimates from high-dimensional data whose irregular dependence structure cannot be modelled by parametric multivariate...
Accurate parameter estimation for star formation history in galaxies using SDSS spectra (2009)
Richards, Joseph W., Freeman, Peter E., Lee, Ann B., Schafer, Chad M.
To further our knowledge of the complex physical process of galaxy formation, it is essential that we characterize the formation and evolution of large databases of galaxies. The spectral synthesis...
On the nonlinear statistics of range image patches (2009)
Lee, Ann B., Pedersen, Kim S., Mumford, David
In [A. B. Lee, K. S. Pedersen, and D. Mumford, Int. J. Comput. Vis., 54 (2003), pp. 83–103], the authors study the distributions of 3 × 3 patches from optical images and from range images. In [G....
Treelets — An Adaptive Multi-Scale Basis for Sparse Unordered Data (2008)
Ann B Lee, Boaz Nadler, Larry Wasserman
In many modern applications, including analysis of gene expression and text documents, the data are noisy, high-dimensional, and unordered — with no particular meaning to the given order of the...
Spectral Connectivity Analysis (2008)
Spectral kernel methods are techniques for transforming data into a coordinate system that efficiently reveals the geometric structure - in particular, the "connectivity" - of the data. These methods...
Rejoinder of: Treelets--An adaptive multi-scale basis for spare unordered data (2008)
Lee, Ann B., Nadler, Boaz, Wasserman, Larry
Rejoinder of "Treelets--An adaptive multi-scale basis for spare unordered data" [arXiv:0707.0481]
Exploiting Low-Dimensional Structure in Astronomical Spectra (2008)
Richards, Joseph W., Freeman, Peter E., Lee, Ann B., Schafer, Chad M.
Dimension-reduction techniques can greatly improve statistical inference in astronomy. A standard approach is to use Principal Components Analysis (PCA). In this work we apply a recently-developed...
Treelets--An adaptive multi-scale basis for sparse unordered data (2007)
Lee, Ann B., Nadler, Boaz, Wasserman, Larry
In many modern applications, including analysis of gene expression and text documents, the data are noisy, high-dimensional, and unordered--with no particular meaning to the given order of the...
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define a system of...
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define a system of...
Toward a full probability model of edges in natural images (2002)
Abstract. We investigate the statistics of local geometric structures in natural images. Previous studies [12,13] of high-contrast 3 3 natural image patches have shown that, in the state space of...
Statistics, models and learning in BCM theory of a natural visual environment / (2002)
Available in film copy from University Microfilms International.
Ann B. Lee, David Mumford, Jinggang Huang
Abstract. We develop a scale-invariant version of Matheron’s “dead leaves model ” for the statistics of natural images. The model takes occlusions into account and resembles the image formation...
Random collage model for natural images (2000)
Ann B. Lee, Jinggang Huang, David Mumford
Abstract. We study a model for scale invariance of natural images based on the idea of images as collages of statistically independent objects. The model takes occlusions into account, and shows an...
Statistics of range images (2000)
Jinggang Huang, Ann B. Lee, David Mumford
The statistics of range images from natural environments is a largely unexplored field of research. It closely relates to the statistical modeling of the scene geometry in natural environments, and...
Ann B. Lee, Brian Blais, Harel Shouval, Leon N Cooper
Visual cortical simple cells show a strong preference for edges of a particular orientation[Hubel and Wiesel, 1962]. The receptive field of the cortical cell shows adjacent excitatory and inhibitory...
An Occlusion Model Generating Scale-Invariant Images (1999)
We present a model for scale invariance of natural images based on the ideas of images as collages of statistically independent objects. The model takes occlusions into account, and produces images...
Lee, Ann B., Blais, Brian, Shouval, Harel Z., Cooper, Leon N
The receptive fields for simple cells in visual cortex show a strong preference for edges of a particular orientation and display adjacent excitatory and inhibitory subfields. These subfields are...
Lee, Ann B., Blais, Brian, Shouval, Harel Z., Cooper, Leon N
The receptive fields for simple cells in visual cortex show a strong preference for edges of a particular orientation and display adjacent excitatory and inhibitory subfields. These subfields are...
Luca, Diana, Ringquist, Steven, Klei, Lambertus, Lee, Ann B., Gieger, Christian, Wichmann, H.-Erich, ...
Resources being amassed for genome-wide association (GWA) studies include “control databases” genotyped with a large-scale SNP array. How to use these databases effectively is an open question....