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IVC
2010
128views more  IVC 2010»
15 years 3 months ago
Online kernel density estimation for interactive learning
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
Matej Kristan, Danijel Skocaj, Ales Leonardis
ICIP
2007
IEEE
16 years 6 months ago
A Statistical Approach for Intensity Loss Compensation of Confocal Microscopy Images
In this paper a probabilistic technique for compensation of intensity loss in the confocal microscopy images is presented. Confocal microscopy images are modeled as a mixture of t...
Sowmya Gopinath, Ninad Thakoor, Jean Gao, Kate Lub...
ICASSP
2008
IEEE
15 years 11 months ago
Source coding with intermittent and degraded side information at the decoder
Practical schemes for distributed video coding with side information at the decoder need to consider non-standard correlation models in order to take non-stationarities into accou...
Francesca Bassi, Michel Kieffer, Claudio Weidmann
PAMI
2008
161views more  PAMI 2008»
15 years 4 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
BMCBI
2006
103views more  BMCBI 2006»
15 years 4 months ago
Probe-level linear model fitting and mixture modeling results in high accuracy detection of differential gene expression
Background: The identification of differentially expressed genes (DEGs) from Affymetrix GeneChips arrays is currently done by first computing expression levels from the low-level ...
Sébastien Lemieux