1653 search results - page 289 / 331 » Efficient Multidimensional Sampling |
CORR
2008
Springer
14 years 9 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
CORR
2008
Springer
14 years 9 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
CORR
2006
Springer
14 years 9 months ago
2006
Springer
Abstract-- In this paper we consider the communication problem that involves transmission of correlated sources over broadcast channels. We consider a graph-based framework for thi...
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IJCV
2006
14 years 9 months ago
2006
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...
JCP
2008
14 years 9 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...