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» Combining Gaussian Mixture Models
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TCSV
2011
13 years 3 months ago
Mixture of Gaussians-Based Background Subtraction for Bayer-Pattern Image Sequences
This paper proposes a background subtraction method for Bayer-pattern image sequences. The proposed method models the background in a Bayer-pattern domain using a mixture of Gauss...
Jae Kyu Suhr, Ho Gi Jung, Gen Li, Jaihie Kim
ICASSP
2010
IEEE
13 years 9 months ago
Towards multi-speaker unsupervised speech pattern discovery
In this paper, we explore the use of a Gaussian posteriorgram based representation for unsupervised discovery of speech patterns. Compared with our previous work, the new approach...
Yaodong Zhang, James R. Glass
COLT
2010
Springer
13 years 7 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
ICPR
2008
IEEE
14 years 3 months ago
A new algorithm for static camera foreground segmentation via active coutours and GMM
Foreground segmentation is one of the most challenging problems in computer vision. In this paper, we propose a new algorithm for static camera foreground segmentation. It combine...
Chengkai Wan, Baozong Yuan, Zhenjiang Miao
ICIP
2006
IEEE
14 years 10 months ago
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
Paul Scheunders, Steve De Backer