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» Feature selection based on the training set manipulation
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ECCV
2006
Springer
16 years 6 months ago
Sampling Strategies for Bag-of-Features Image Classification
Abstract. Bag-of-features representations have recently become popular for content based image classification owing to their simplicity and good performance. They evolved from text...
Eric Nowak, Frédéric Jurie, Bill Tri...
ICFP
2006
ACM
16 years 4 months ago
Towards an automatic complexity analysis for generic programs
Generic libraries, such as the C++ Standard Template Library (STL), provide flexible, high-performance algorithms and data types, along with functional specifications and performa...
Kyle D. Ross
EON
2003
15 years 5 months ago
OntoTrack: Fast Browsing and Easy Editing of Large Ontologie
Abstract. OntoTrack is a new browsing and editing “in-one-view” ontology authoring tool. It combines a sophisticated graphical layout with mouse enabled editing features optimi...
Thorsten Liebig, Olaf Noppens
HIS
2004
15 years 5 months ago
Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agr...
DAWAK
2008
Springer
15 years 6 months ago
A Parameter-Free Associative Classification Method
In many application domains, classification tasks have to tackle multiclass imbalanced training sets. We have been looking for a CBA approach (Classification Based on Association r...
Loïc Cerf, Dominique Gay, Nazha Selmaoui, Jea...