317 search results - page 24 / 64 » From Transformation-Based Dimensionality Reduction to Featur... |
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JMLR
2010
14 years 4 months ago
2010
As the size and dimensionality of data sets increase, the task of feature selection has become increasingly important. In this paper we demonstrate how association rules can be us...
ICCD
2008
IEEE
15 years 6 months ago
2008
IEEE
High associativity is important for level-two cache designs [9]. Implementing CAM-based Highly Associative Caches (CAM-HAC), however, is both costly in hardware and exhibits poor s...
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ICPR
2010
IEEE
15 years 2 months ago
2010
IEEE
Abstract—Due to their ability to model sequential data without making unnecessary independence assumptions, conditional random fields (CRFs) have become an increasingly popular ...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
RSFDGRC
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...