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» Using PageRank in Feature Selection
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ISBI
2011
IEEE
14 years 10 months ago
Group sparsity based classification for cervigram segmentation
This paper presents an algorithm to classify pixels in uterine cervix images into two classes, namely normal and abnormal tissues, and simultaneously select relevant features, usi...
Yang Yu, Junzhou Huang, Shaoting Zhang, Christophe...
MVA
1996
123views Computer Vision» more  MVA 1996»
15 years 7 months ago
Automatic Configuration of Systems for Texture Analysis
Automatic visual inspection plays a growing role in today's efforts to reduce the costs of industrial production. Three to ten months of man power have to be invested for the...
Christian Küblbeck, Christoph Schittko, Thoma...
RSFDGRC
2005
Springer
190views Data Mining» more  RSFDGRC 2005»
15 years 12 months ago
Finding Rough Set Reducts with SAT
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...
Richard Jensen, Qiang Shen, Andrew Tuson
CEAS
2007
Springer
15 years 10 months ago
Learning Fast Classifiers for Image Spam
Recently, spammers have proliferated "image spam", emails which contain the text of the spam message in a human readable image instead of the message body, making detect...
Mark Dredze, Reuven Gevaryahu, Ari Elias-Bachrach
ICPR
2008
IEEE
16 years 7 months ago
Gait recognition by dynamic cues
Many studies have now shown that it is possible to recognize people by the way they walk. As yet there has been little formal study of people recognition using the kinematic-relat...
Imed Bouchrika, Mark S. Nixon