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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. ...
Availability-Consistency Trade-Offs in a Fault-Tolerant Stream Processing System
(2004-11-22)
processing. In contrast to previous techniques that handlenode failures, our approach also tolerates network failuresand network partitions. The approach is based on a principledtrade-off between consistency and availability ...
Comparing Network Coding with Multicommodity Flow for the k-pairs Communication Problem
(2004-11-24)
Given a graph G = (V,E) and k source-sink pairs of vertices, this papers investigates the maximum rate r at which all pairs can simultaneously communicate. We view this problem from two perspectives and compare their ...
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, ...
Capacity Allocation in Wireless LANs
(2004-11-12)
Today's access point based wireless LANs (WLANs) are inefficient and unfair. For many traffic loads they provide far less total throughput than they should, and do a poor job allocating what throughput they do deliver. ...
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 ...