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» Learning Mixtures of Gaussians
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CDC
2009
IEEE
189views Control Systems» more  CDC 2009»
15 years 5 months ago
Dirac mixture approximation of multivariate Gaussian densities
— For the optimal approximation of multivariate Gaussian densities by means of Dirac mixtures, i.e., by means of a sum of weighted Dirac distributions on a continuous domain, a n...
Uwe D. Hanebeck, Marco F. Huber, Vesa Klumpp
121
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MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 6 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
102
Voted
ICPR
2006
IEEE
16 years 1 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang
71
Voted
ICIP
2006
IEEE
16 years 2 months ago
Gaussian Mixture Modeling of Neighbor Characters for Multilingual Text Extraction in Images
Hui Fu, Xiabi Liu, Yunde Jia, Hongbin Deng
95
Voted
ICIP
2001
IEEE
16 years 2 months ago
Adaptive Wiener denoising using a Gaussian scale mixture model in the wavelet domain
Vasily Strela, Javier Portilla, Martin J. Wainwrig...