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» Density Estimation Using Mixtures of Mixtures of Gaussians
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ICPR
2008
IEEE
16 years 7 months ago
Segmentation by combining parametric optical flow with a color model
We present a simple but efficient model for object segmentation in video scenes that integrates motion and color information in a joint probabilistic framework. Optical flow is mo...
Adrian Ulges, Thomas M. Breuel
ECSQARU
2005
Springer
15 years 11 months ago
Nonlinear Deterministic Relationships in Bayesian Networks
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
Barry R. Cobb, Prakash P. Shenoy
COLT
2005
Springer
15 years 11 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
ISNN
2004
Springer
15 years 11 months ago
Unsupervised Learning for Hierarchical Clustering Using Statistical Information
This paper proposes a novel hierarchical clustering method that can classify given data without specified knowledge of the number of classes. In this method, at each node of a hie...
Masaru Okamoto, Nan Bu, Toshio Tsuji
TSP
2011
125views more  TSP 2011»
15 years 1 months ago
Weight Adjusted Tensor Method for Blind Separation of Underdetermined Mixtures of Nonstationary Sources
—In this paper, a novel algorithm to blindly separate an instantaneous linear underdetermined mixture of nonstationary sources is proposed. It means that the number of sources ex...
Petr Tichavský, Zbynek Koldovský