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NIPS
2004
14 years 11 months ago
Sampling Methods for Unsupervised Learning
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
Robert Fergus, Andrew Zisserman, Pietro Perona
BMCBI
2007
147views more  BMCBI 2007»
14 years 9 months ago
Statistical analysis and significance testing of serial analysis of gene expression data using a Poisson mixture model
Background: Serial analysis of gene expression (SAGE) is used to obtain quantitative snapshots of the transcriptome. These profiles are count-based and are assumed to follow a Bin...
Scott D. Zuyderduyn
VTC
2008
IEEE
146views Communications» more  VTC 2008»
15 years 4 months ago
A Frequency-Domain Correlation Matrix Estimation Algorithm for MIMO-OFDM Channel Estimation
— The second-order statistics of a time-domain signal are very often used in blind and semi-blind channel estimation. Considering that the received signal in MIMO-OFDM systems mi...
Feng Wan, Wei-Ping Zhu, M. N. S. Swamy
BMCBI
2007
153views more  BMCBI 2007»
14 years 9 months ago
Estimating genealogies from linked marker data: a Bayesian approach
Background: Answers to several fundamental questions in statistical genetics would ideally require knowledge of the ancestral pedigree and of the gene flow therein. A few examples...
Dario Gasbarra, Matti Pirinen, Mikko J. Sillanp&au...
CVPR
2007
IEEE
15 years 11 months ago
High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with
This paper deals with region-of-interest (ROI) tracking in video sequences. The goal is to determine in successive frames the region which best matches, in terms of a similarity m...
Sylvain Boltz, Eric Debreuve, Michel Barlaud