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» Feature Selection from Huge Feature Sets
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CVPR
2008
IEEE
16 years 8 months ago
Learning realistic human actions from movies
The aim of this paper is to address recognition of natural human actions in diverse and realistic video settings. This challenging but important subject has mostly been ignored in...
Ivan Laptev, Marcin Marszalek, Cordelia Schmid, Be...
SIGMOD
1999
ACM
110views Database» more  SIGMOD 1999»
15 years 11 months ago
Multi-dimensional Selectivity Estimation Using Compressed Histogram Information
The database query optimizer requires the estimation of the query selectivity to find the most efficient access plan. For queries referencing multiple attributes from the same rel...
Ju-Hong Lee, Deok-Hwan Kim, Chin-Wan Chung
BMCBI
2010
208views more  BMCBI 2010»
15 years 7 months ago
A multi-filter enhanced genetic ensemble system for gene selection and sample classification of microarray data
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...
Pengyi Yang, Bing Bing Zhou, Zili Zhang, Albert Y....
CEAS
2004
Springer
16 years 7 days ago
Learning to Extract Signature and Reply Lines from Email
: We describe methods for automatically identifying signature blocks and reply lines in plaintext email messages. This analysis has many potential applications, such as preprocessi...
Vitor Rocha de Carvalho, William W. Cohen
BVAI
2005
Springer
16 years 11 days ago
Learning Location Invariance for Object Recognition and Localization
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
Gwendid T. van der Voort van der Kleij, Frank van ...