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126
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ANNPR
2006
Springer
15 years 4 months ago
Fast Training of Linear Programming Support Vector Machines Using Decomposition Techniques
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
Yusuke Torii, Shigeo Abe
112
Voted
ICML
2008
IEEE
16 years 1 months ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims
142
Voted
DAGM
2004
Springer
15 years 4 months ago
Efficient Face Detection by a Cascaded Support Vector Machine Using Haar-Like Features
Abstract. In this paper, we present a novel method for reducing the computational complexity of a Support Vector Machine (SVM) classifier without significant loss of accuracy. We a...
Matthias Rätsch, Sami Romdhani, Thomas Vetter
102
Voted
ICDM
2007
IEEE
148views Data Mining» more  ICDM 2007»
15 years 4 months ago
Sample Selection for Maximal Diversity
The problem of selecting a sample subset sufficient to preserve diversity arises in many applications. One example is in the design of recombinant inbred lines (RIL) for genetic a...
Feng Pan, Adam Roberts, Leonard McMillan, David Th...
ISSS
1996
IEEE
169views Hardware» more  ISSS 1996»
15 years 5 months ago
The Use of a Virtual Instruction Set for the Software Synthesis of HW/SW Embedded Systems
The application range of the embedded computing is going to cover the majority of the market products spanning from consumer electronic, automotive, telecom and process control. F...
Alessandro Balboni, William Fornaciari, M. Vincenz...