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» Propagation Algorithms for Variational Bayesian Learning
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SIAMIS
2010
141views more  SIAMIS 2010»
14 years 4 months ago
Optimization by Stochastic Continuation
Simulated annealing (SA) and deterministic continuation are well-known generic approaches to global optimization. Deterministic continuation is computationally attractive but produ...
Marc C. Robini, Isabelle E. Magnin
ICDM
2007
IEEE
289views Data Mining» more  ICDM 2007»
15 years 4 months ago
Latent Dirichlet Conditional Naive-Bayes Models
In spite of the popularity of probabilistic mixture models for latent structure discovery from data, mixture models do not have a natural mechanism for handling sparsity, where ea...
Arindam Banerjee, Hanhuai Shan
ICASSP
2011
IEEE
14 years 1 months ago
Nonstationary and temporally correlated source separation using Gaussian process
Blind source separation (BSS) is a process to reconstruct source signals from the mixed signals. The standard BSS methods assume a fixed set of stationary source signals with the ...
Hsin-Lung Hsieh, Jen-Tzung Chien
CVPR
2007
IEEE
15 years 11 months ago
Detector Ensemble
Component-based detection methods have demonstrated their promise by integrating a set of part-detectors to deal with large appearance variations of the target. However, an essent...
Shengyang Dai, Ming Yang, Ying Wu, Aggelos K. Kats...
CVPR
2011
IEEE
14 years 5 months ago
Modeling Human Activities as Speech
Human activity recognition and speech recognition appear to be two loosely related research areas. However, on a careful thought, there are several analogies between activity and ...
Chia-Chih Chen, Jake Aggarwal