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NIPS
2003
13 years 6 months ago
Feature Selection in Clustering Problems
A novel approach to combining clustering and feature selection is presented. It implements a wrapper strategy for feature selection, in the sense that the features are directly se...
Volker Roth, Tilman Lange
NIPS
2003
13 years 6 months ago
Margin Maximizing Loss Functions
Margin maximizing properties play an important role in the analysis of classi£cation models, such as boosting and support vector machines. Margin maximization is theoretically in...
Saharon Rosset, Ji Zhu, Trevor Hastie
NIPS
2003
13 years 6 months ago
Bayesian Color Constancy with Non-Gaussian Models
We present a Bayesian approach to color constancy which utilizes a nonGaussian probabilistic model of the image formation process. The parameters of this model are estimated direc...
Charles R. Rosenberg, Thomas P. Minka, Alok Ladsar...
NIPS
2003
13 years 6 months ago
A Classification-based Cocktail-party Processor
At a cocktail party, a listener can selectively attend to a single voice and filter out other acoustical interferences. How to simulate this perceptual ability remains a great cha...
Nicoleta Roman, DeLiang L. Wang, Guy J. Brown
NIPS
2003
13 years 6 months ago
Reconstructing MEG Sources with Unknown Correlations
Existing source location and recovery algorithms used in magnetoencephalographic imaging generally assume that the source activity at different brain locations is independent or t...
Maneesh Sahani, Srikantan S. Nagarajan
NIPS
2003
13 years 6 months ago
A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
Significant plasticity in sensory cortical representations can be driven in mature animals either by behavioural tasks that pair sensory stimuli with reinforcement, or by electro...
Maneesh Sahani
NIPS
2003
13 years 6 months ago
Training a Quantum Neural Network
Most proposals for quantum neural networks have skipped over the problem of how to train the networks. The mechanics of quantum computing are different enough from classical compu...
Bob Ricks, Dan Ventura
NIPS
2003
13 years 6 months ago
Sensory Modality Segregation
Why are sensory modalities segregated the way they are? In this paper we show that sensory modalities are well designed for self-supervised cross-modal learning. Using the Minimiz...
Virginia R. de Sa
NIPS
2003
13 years 6 months ago
Discriminating Deformable Shape Classes
Salvador Ruiz-Correa, Linda G. Shapiro, Marina Mei...
NIPS
2003
13 years 6 months ago
Gaussian Processes in Reinforcement Learning
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
Carl Edward Rasmussen, Malte Kuss