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A Theory of Object Recognition: Computations and Circuits in the Feedforward Path of the Ventral Stream in Primate Visual Cortex
(2005-12-19)
We describe a quantitative theory to account for the computations performed by the feedforward path of the ventral stream of visual cortex and the local circuits implementing them. We show that a model instantiating the ...
Systematic analysis of gene expression in human brains before and after death
(2005-12-30)
Abstract Background Numerous studies have employed microarray techniques to study changes in gene expression in connection with human disease, aging and evolution. The vast majority of human samples available for research ...
Simultaneous Localization and Tracking in Wireless Ad-hoc Sensor Networks
(2005-05-31)
In this thesis we present LaSLAT, a sensor network algorithm thatsimultaneously localizes sensors, calibrates sensing hardware, andtracks unconstrained moving targets using only range measurementsbetween the sensors and ...
Comparing Visual Features for Morphing Based Recognition
(2005-05-25)
This thesis presents a method of object classification using the idea of deformable shape matching. Three types of visual features, geometric blur, C1 and SIFT, are used to generate feature descriptors. These feature ...
A Novel Active Contour Framework. Multi-component Level Set Evolution under Topology Control
(2005-06-01)
We present a novel framework to exert a topology control over a level set evolution. Level set methods offer several advantages over parametric active contours, in particular automated topological changes. In some applications, ...
Lexical Chains and Sliding Locality Windows in Content-based Text Similarity Detection
(2005-05-19)
We present a system to determine content similarity of documents. More specifically, our goal is to identify book chapters that are translations of the same original chapter; this task requires identification of not only ...
Nonlinear Latent Variable Models for Video Sequences
(2005-06-06)
Many high-dimensional time-varying signals can be modeled as a sequence of noisy nonlinear observations of a low-dimensional dynamical process. Given high-dimensional observations and a distribution describing the ...
Empirical Effective Dimension and Optimal Rates for Regularized Least Squares Algorithm
(2005-05-27)
This paper presents an approach to model selection for regularized least-squares on reproducing kernel Hilbert spaces in the semi-supervised setting. The role of effective dimension was recently shown to be crucial in the ...
Some Properties of Empirical Risk Minimization over Donsker Classes
(2005-05-17)
We study properties of algorithms which minimize (or almost minimize) empirical error over a Donsker class of functions. We show that the L2-diameter of the set of almost-minimizers is converging to zero in probability. ...
Automatic Test Factoring for Java
(2005-06-08)
Test factoring creates fast, focused unit tests from slow system-widetests; each new unit test exercises only a subset of the functionalityexercised by the system test. Augmenting a test suite with factoredunit tests ...