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» Robust Feature Selection Algorithms
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MVA
2000
152views Computer Vision» more  MVA 2000»
13 years 9 months ago
Automatic IC orientation checks
With the proliferation of different types of IC packages, there is a need for machine-vision-based inspection systems to be able to efficiently identify the orientation of IC packa...
Ashraf A. Kassim, H. Zhou, S. Ranganath
WILF
2007
Springer
98views Fuzzy Logic» more  WILF 2007»
14 years 3 months ago
Possibilistic Clustering in Feature Space
In this paper we propose the Possibilistic C-Means in Feature Space and the One-Cluster Possibilistic C-Means in Feature Space algorithms which are kernel methods for clustering in...
Maurizio Filippone, Francesco Masulli, Stefano Rov...
ICPR
2004
IEEE
14 years 10 months ago
Relevant Linear Feature Extraction Using Side-information and Unlabeled Data
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Changshui Zhang, Fei Wu, Yonglei Zhou
ICDAR
2011
IEEE
12 years 9 months ago
Text Detection and Character Recognition in Scene Images with Unsupervised Feature Learning
—Reading text from photographs is a challenging problem that has received a signicant amount of attention. Two key components of most systems are (i) text detection from images a...
Adam Coates, Blake Carpenter, Carl Case, Sanjeev S...
ICPR
2008
IEEE
14 years 10 months ago
Circular Earth Mover's Distance for the comparison of local features
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for th...
Julie Delon, Julien Rabin, Yann Gousseau