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NIPS
1998
9 years 1 months ago
A High Performance k-NN Classifier Using a Binary Correlation Matrix Memory
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
Ping Zhou, Jim Austin, John Kennedy
NIPS
1998
9 years 1 months ago
Robot Docking Using Mixtures of Gaussians
This paper applies the Mixture of Gaussians probabilistic model, combined with Expectation Maximization optimization to the task of summarizing three dimensional range data for a ...
Matthew M. Williamson, Roderick Murray-Smith, Volk...
NIPS
1998
9 years 1 months ago
SMEM Algorithm for Mixture Models
When learning a mixture model, we suffer from the local optima and model structure determination problems. In this paper, we present a method for simultaneously solving these prob...
Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Ge...
NIPS
1998
9 years 1 months ago
Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape
A recent neural model of illusory contour formation is based on a distribution of natural shapes traced by particles moving with constant speed in directions given by Brownian mot...
Karvel K. Thornber, Lance R. Williams
NIPS
1998
9 years 1 months ago
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy
We describe a new iterative method for parameter estimation of Gaussian mixtures. The new method is based on a framework developed by Kivinen and Warmuth for supervised on-line le...
Yoram Singer, Manfred K. Warmuth
NIPS
1998
9 years 1 months ago
Modeling Surround Suppression in V1 Neurons with a Statistically Derived Normalization Model
We examine the statistics of natural monochromatic images decomposed using a multi-scale wavelet basis. Although the coefficients of this representation are nearly decorrelated, t...
Eero P. Simoncelli, Odelia Schwartz
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