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Comparing Support Vector Machines with Gaussian Kernels to Radial Basis Function Classifiers
(1996-12-01)
The Support Vector (SV) machine is a novel type of learning machine, based on statistical learning theory, which contains polynomial classifiers, neural networks, and radial basis function (RBF) networks as special ...
Model Selection in Summary Evaluation
(2002-12-01)
A difficulty in the design of automated text summarization algorithms is in the objective evaluation. Viewing summarization as a tradeoff between length and information content, we introduce a technique based on ...
Direction Estimation of Pedestrian from Images
(2003-08-27)
The capability of estimating the walking direction of people would be useful in many applications such as those involving autonomous cars and robots.We introduce an approach for estimating the walking direction of people ...
Predictive identification of alternative events conserved in human and mouse
(2004-09-30)
Alternative pre-messenger RNA splicing affects a majority of human genes and plays important roles in development and disease. Alternative splicing (AS) events conserved since the divergence of human and mouse are likely ...
Representation and Detection of Shapes in Images
(2003-08-08)
We present a set of techniques that can be used to represent anddetect shapes in images. Our methods revolve around a particularshape representation based on the description of objects usingtriangulated polygons. This ...
The Interval Programming Model for Multi-objective Decision Making
(2004-09-27)
The interval programming model (IvP) is a mathematical programmingmodel for representing and solving multi-objective optimizationproblems. The central characteristic of the model is the use ofpiecewise linearly defined ...
Compact Representations for Fast Nonrigid Registration of Medical Images
(2003-07-04)
We develop efficient techniques for the non-rigid registration of medical
images by using representations that adapt to the anatomy found in such
images.
Images of anatomical structures typically have uniform intensity ...
Cognitive-Developmental Learning for a Humanoid Robot: A Caregiver's Gift
(2004-09-26)
The goal of this work is to build a cognitive system for the humanoid robot, Cog, that exploits human caregivers as catalysts to perceive and learn about actions, objects, scenes, people, and the robot itself. This thesis ...
A general mechanism for tuning: Gain control circuits and synapses underlie tuning of cortical neurons
(2004-12-31)
Tuning to an optimal stimulus is a widespread property of neurons in cortex. We propose that such tuning is a consequence of normalization or gain control circuits. We also present a biologically plausible neural circuitry ...
An Overview of MOOS-IvP and a Brief Users Guide to the IvP Helm Autonomy Software
(2009-06-18)
This document describes the IvP Helm - an Open Source behavior-based autonomy application for unmanned vehicles. IvP is short for interval programming - a technique for representing and solving multi-objective optimizations ...