3006 search results - page 87 / 602 » Dimensionality reduction and generalization |
101
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ECCV
2002
Springer
16 years 2 months ago
2002
Springer
Abstract. Principal Component Analysis (PCA) is one of the most popular techniques for dimensionality reduction of multivariate data points with application areas covering many bra...
110
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ICIP
2004
IEEE
16 years 2 months ago
2004
IEEE
To support real-time tracking of objects in video sequences, there has been considerable effort directed at developing optical flow and general motion-based image segmentation alg...
90
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ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
Canonical Correlation Analysis (CCA) is a well-known technique for finding the correlations between two sets of multi-dimensional variables. It projects both sets of variables int...
108
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ISBI
2004
IEEE
16 years 1 months ago
2004
IEEE
Independent Component Analysis is becoming a popular exploratory method for analysing complex data such as that from FMRI experiments. The application of such `model-free' me...
103
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CDC
2008
IEEE
15 years 7 months ago
2008
IEEE
— The goal of this paper is to develop modeling techniques for complex systems for the purposes of control, estimation, and inference: (i) A new class of Hidden Markov Models is ...