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ESANN
2007
13 years 11 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...
DICTA
2003
13 years 11 months ago
Robust Estimation in Gaussian Mixtures Using Multiresolution Kd-trees
For many applied problems in the context of clustering via mixture models, the estimates of the component means and covariance matrices can be affected by observations that are at...
Shu-Kay Ng, Geoffrey J. McLachlan
ICPR
2010
IEEE
13 years 10 months ago
Multi-object Segmentation in a Projection Plane Using Subtraction Stereo
We propose a method for multi-object segmentation in a projection plane. Our algorithm requires a stereo camera system called Subtraction Stereo, which extracts foreground informa...
Toru Ubukata, Kenji Terabayashi, Alessandro Moro, ...
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 10 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
IAJIT
2006
109views more  IAJIT 2006»
13 years 10 months ago
Image Segmentation Based on Watershed and Edge Detection Techniques
: A combination of K-means, watershed segmentation method, and Difference In Strength (DIS) map was used to perform image segmentation and edge detection tasks. We obtained an init...
Nassir Salman