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» Statistical Compressed Sensing of Gaussian Mixture Models
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TMM
2008
167views more  TMM 2008»
13 years 7 months ago
Mining Appearance Models Directly From Compressed Video
In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Datong Chen, Qiang Liu, Mingui Sun, Jie Yang
ICASSP
2011
IEEE
12 years 11 months ago
Discriminative training for Bayesian sensing hidden Markov models
We describe feature space and model space discriminative training for a new class of acoustic models called Bayesian sensing hidden Markov models (BS-HMMs). In BS-HMMs, speech dat...
George Saon, Jen-Tzung Chien
ICIP
2009
IEEE
13 years 5 months ago
Random swap EM algorithm for finite mixture models in image segmentation
The Expectation-Maximization (EM) algorithm is a popular tool in statistical estimation problems involving incomplete data or in problems which can be posed in a similar form, suc...
Qinpei Zhao, Ville Hautamäki, Ismo Kärkk...
ICIP
2007
IEEE
14 years 1 months ago
Modeling Gabor Coefficients via Generalized Gaussian Distributions for Face Recognition
Gabor filters are biologically motivated convolution kernels that have been widely used in the field of computer vision and, specially, in face recognition during the last decad...
Daniel González-Jiménez, Fernando P&...
ISBI
2009
IEEE
14 years 2 months ago
A Compressed Sensing Approach for Biological Microscopic Image Processing
In fluorescence microscopy the noise level and the photobleaching are cross-dependent problems since reducing exposure time to reduce photobleaching degrades image quality while ...
Marcio de Moraes Marim, Elsa D. Angelini, Jean-Chr...