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» Custom Computing Machines for the Set Covering Problem
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ICML
2009
IEEE
15 years 7 months ago
Non-monotonic feature selection
We consider the problem of selecting a subset of m most informative features where m is the number of required features. This feature selection problem is essentially a combinator...
Zenglin Xu, Rong Jin, Jieping Ye, Michael R. Lyu, ...
97
Voted
ICPR
2010
IEEE
15 years 2 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With
TALG
2008
152views more  TALG 2008»
15 years 13 days ago
Algorithms for capacitated rectangle stabbing and lot sizing with joint set-up costs
In the rectangle stabbing problem we are given a set of axis parallel rectangles and a set of horizontal and vertical lines, and our goal is to find a minimum size subset of lines...
Guy Even, Retsef Levi, Dror Rawitz, Baruch Schiebe...
75
Voted
ICPR
2006
IEEE
16 years 1 months ago
Detecting Text Lines in Handwritten Documents
Although detecting text lines in machine printed documents is typically considered a solved problem, it is still a challenge to segment handwritten text lines in the general sense...
Yi Li, Yefeng Zheng, David S. Doermann
115
Voted
CVPR
2010
IEEE
15 years 8 months ago
Safety in Numbers: Learning Categories from Few Examples with Multi Model Knowledge Transfer
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
Tatiana Tommasi, Francesco Orabona, Barbara Caputo