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IDA
2009
Springer
15 years 4 months ago
Bayesian Robust PCA for Incomplete Data
Abstract. We present a probabilistic model for robust principal component analysis (PCA) in which the observation noise is modelled by Student-t distributions that are independent ...
Jaakko Luttinen, Alexander Ilin, Juha Karhunen
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
ICASSP
2011
IEEE
14 years 1 months ago
Robust Bayesian Analysis applied to Wiener filtering of speech
Commonly used speech enhancement algorithms estimate the power spectral density of the noise to be removed, or make a decision about the presence of speech in a particular frame, ...
Phil Spencer Whitehead, David V. Anderson
PAMI
2008
166views more  PAMI 2008»
14 years 9 months ago
Robust Real-Time Pattern Matching Using Bayesian Sequential Hypothesis Testing
This paper describes a method for robust real time pattern matching. We first introduce a family of image distance measures, the "Image Hamming Distance Family". Members ...
Ofir Pele, Michael Werman
ICCV
2009
IEEE
14 years 7 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...