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» Using mixture models for collaborative filtering
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ICASSP
2011
IEEE
13 years 9 days ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...
UAI
2000
13 years 10 months ago
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Such systems leverage knowledge about the known preferenc...
David M. Pennock, Eric Horvitz, Steve Lawrence, C....
ICASSP
2010
IEEE
13 years 8 months ago
Music dereverberation using harmonic structure source model and Wiener filter
This paper proposes a dereverberation method for musical audio signals. Existing dereverberation methods are designed for speech signals and are not necessarily effective for supp...
Naoki Yasuraoka, Takuya Yoshioka, Tomohiro Nakatan...
ICASSP
2010
IEEE
13 years 8 months ago
Particle filter adaptation for distributed sensors via set membership
A distributed set-membership-constrained particle filter (SMCPF) is developed for decentralized tracking applications using wireless sensor networks. Unlike existing PF alternati...
Shahrokh Farahmand, Stergios I. Roumeliotis, Georg...
MM
2004
ACM
149views Multimedia» more  MM 2004»
14 years 2 months ago
An adaptive skin model and its application to objectionable image filtering
We propose an adaptive skin-detection method, which allows modelling and detection of the true skin-color pixels with significantly higher accuracy and flexibility than previous...
Qiang Zhu, Ching-Tung Wu, Kwang-Ting Cheng, Yi-Leh...