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Neural Network Models for Zebra Finch Song Production and Reinforcement Learning
(2004-11-09)
The zebra finch is a standard experimental system for studying learning and generation of temporally extended motor patterns. The first part of this project concerned the evaluation of simple models for the operation and ...
A new biologically motivated framework for robust object recognition
(2004-11-14)
In this paper, we introduce a novel set of features for robust object recognition, which exhibits outstanding performances on a variety ofobject categories while being capable of learning from only a fewtraining examples. ...
Learning with Matrix Factorizations
(2004-11-22)
Matrices that can be factored into a product of two simpler matricescan serve as a useful and often natural model in the analysis oftabulated or high-dimensional data. Models based on matrixfactorization (Factor Analysis, ...
Regularization Through Feature Knock Out
(2004-11-12)
In this paper, we present and analyze a novel regularization technique based on enhancing our dataset with corrupted copies of the original data. The motivation is that since the learning algorithm lacks information about ...
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 ...
Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
(2004-01-28)
Recovering a volumetric model of a person, car, or other object of interest from a single snapshot would be useful for many computer graphics applications. 3D model estimation in general is hard, and currently requires ...
Sharing visual features for multiclass and multiview object detection
(2004-04-14)
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifiers to the image, at multiple locations and ...
How People Re-find Information When the Web Changes
(2004-06-18)
This paper investigates how people return to information in a dynamic information environment. For example, a person might want to return to Web content via a link encountered earlier on a Web page, only to learn that the ...
A Unified Statistical and Information Theoretic Framework for Multi-modal Image Registration
(2004-04-28)
We formulate and interpret several multi-modal registration methods in the context of a unified statistical and information theoretic framework. A unified interpretation clarifies the implicit assumptions of each method ...
Contextual models for object detection using boosted random fields
(2004-06-25)
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which uses Boosting to learn the graph structure and local ...