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» Learning Mixtures of Gaussians
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NIPS
2001
15 years 7 months ago
Scaling Laws and Local Minima in Hebbian ICA
We study the dynamics of a Hebbian ICA algorithm extracting a single non-Gaussian component from a high-dimensional Gaussian background. For both on-line and batch learning we fin...
Magnus Rattray, Gleb Basalyga
IPMI
2009
Springer
16 years 1 months ago
Generalized L2-Divergence and Its Application to Shape Alignment
This paper proposes a novel and robust approach to the groupwise point-sets registration problem in the presence of large amounts of noise and outliers. Each of the point sets is r...
Fei Wang, Baba C. Vemuri, Tanveer Fathima Syeda-Ma...
ICASSP
2010
IEEE
15 years 6 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
ICPR
2010
IEEE
15 years 4 months ago
Signal-to-Signal Ratio Independent Speaker Identification for Co-channel Speech Signals
In this paper, we consider speaker identification for the co-channel scenario in which speech mixture from speakers is recorded by one microphone only. The goal is to identify both...
Rahim Saeidi, Pejman Mowlaee, Tomi Kinnunen, Zheng...
COLT
1995
Springer
15 years 10 months ago
A Comparison of New and Old Algorithms for a Mixture Estimation Problem
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
David P. Helmbold, Yoram Singer, Robert E. Schapir...