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» Gaussian mixture modeling for source localization
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ICASSP
2011
IEEE
14 years 8 months ago
Non-parallel training for voice conversion based on FT-GMM
This paper presents a non-parallel training algorithm for voice conversion based on feature transform Gaussian mixture model (FTGMM), which is a mixture model of joint density spa...
Ling-Hui Chen, Zhen-Hua Ling, Li-Rong Dai
CVPR
2008
IEEE
16 years 6 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
ICPR
2008
IEEE
15 years 11 months ago
Combining shape-from-shading and stereo using Gaussian-Markov random fields
In this paper we present a method of combining stereo and shape-from-shading information, taking account of the local reliability of each shape estimate. Local estimates of dispar...
Tom S. F. Haines, Richard C. Wilson
CVPR
2004
IEEE
16 years 6 months ago
Using Skew Gabor Filter in Source Signal Separation and Local Spectral Multi-Orientation Analysis
Responses of Gabor wavelets in the mid-frequency space build a local spectral representation scheme with optimal properties regarding the time-frequency uncertainty principle. How...
Weichuan Yu, Gerald Sommer, Kostas Daniilidis
CVPR
2012
IEEE
13 years 6 months ago
Image categorization using Fisher kernels of non-iid image models
The bag-of-words (BoW) model treats images as an unordered set of local regions and represents them by visual word histograms. Implicitly, regions are assumed to be identically an...
Ramazan Gokberk Cinbis, Jakob J. Verbeek, Cordelia...