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» Combining Gaussian Mixture Models
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ICIP
2007
IEEE
16 years 4 months ago
Faithful Shape Representation for 2D Gaussian Mixtures
It has been recently discovered that a faithful representation for the shape of some simple distributions can be constructed using invariant statistics [1, 2]. In this paper, we c...
Mireille Boutin, Mary I. Comer
ESANN
2007
15 years 4 months ago
Mixtures of robust probabilistic principal component analyzers
Mixtures of probabilistic principal component analyzers model high-dimensional nonlinear data by combining local linear models. Each mixture component is specifically designed to...
Cédric Archambeau, Nicolas Delannay, Michel...
IJON
1998
87views more  IJON 1998»
15 years 2 months ago
Learned parametric mixture based ICA algorithm
The learned parametric mixture method is presented for a canonical cost function based ICA model on linear mixture, with several new findings. First, its adaptive algorithm is fu...
Lei Xu, Chi Chiu Cheung, Shun-ichi Amari
ICIP
2000
IEEE
15 years 7 months ago
Wavelet-Based Image Denoising Using Hidden Markov Models
Wavelet-domain hidden Markov models (HMMs) have been recently proposed and applied to image processing, e.g., image denoising. In this paper, we develop a new HMM, called local co...
Guoliang Fan, Xiang-Gen Xia
IDEAL
2003
Springer
15 years 7 months ago
PCA Fuzzy Mixture Model for Speaker Identification
In this paper, we proposed the principal component analysis (PCA) fuzzy mixture model for speaker identification. A PCA fuzzy mixture model is derived from the combination of the P...
Younjeong Lee, Joohun Lee, Ki Yong Lee