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» On the monotonization of the training set
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111
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ATMOS
2010
150views Optimization» more  ATMOS 2010»
14 years 11 months ago
Dynamic Graph Generation and Dynamic Rolling Horizon Techniques in Large Scale Train Timetabling
The aim of the train timetabling problem is to find a conflict free timetable for a set of passenger and freight trains along their routes in an infrastructure network. Several ...
Frank Fischer, Christoph Helmberg
IJON
2008
173views more  IJON 2008»
15 years 18 days ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
99
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CVPR
2006
IEEE
16 years 2 months ago
Extracting Subimages of an Unknown Category from a Set of Images
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
Sinisa Todorovic, Narendra Ahuja
97
Voted
ICPR
2008
IEEE
16 years 1 months ago
Texture classification with minimal training images
The objective of this work is classifying texture from a single image under unknown lighting conditions. The current and successful approach to this task is to treat it as a stati...
Alireza Tavakoli Targhi, Jan-Mark Geusebroek, Andr...
91
Voted
IJCNN
2007
IEEE
15 years 7 months ago
Spectral Clustering of Synchronous Spike Trains
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...
António R. C. Paiva, Sudhir Rao, Il Park, J...