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» Gaussian mixture modeling for source localization
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UAI
2003
15 years 5 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
ICASSP
2008
IEEE
15 years 10 months ago
Evaluation of several strategies for single sensor speech/music separation
In this paper we address the application of single sensor source separation techniques to mixtures of speech and music. Three strategies for source modeling are presented, namely ...
Raphaël Blouet, Guy Rapaport, Cédric F...
TWC
2010
14 years 11 months ago
Robustness analysis and new hybrid algorithm of wideband source localization for acoustic sensor networks
Wideband source localization using acoustic sensor networks has been drawing a lot of research interest recently in wireless communication applications, such as cellular handset lo...
Kun Yan, Hsiao-Chun Wu, S. Sitharama Iyengar
NN
1998
Springer
177views Neural Networks» more  NN 1998»
15 years 3 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
DPHOTO
2010
360views Hardware» more  DPHOTO 2010»
15 years 5 months ago
Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions
Accurate noise level estimation is essential to assure good performance of noise reduction filters. Noise contaminating raw images is typically modeled as additive white and Gauss...
Angelo Bosco, Arcangelo Bruna, D. Giacalone, Sebas...