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» Kernels and Regularization on Graphs
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86
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JCP
2006
102views more  JCP 2006»
15 years 22 days ago
Efficient Formulations for 1-SVM and their Application to Recommendation Tasks
The present paper proposes new approaches for recommendation tasks based on one-class support vector machines (1-SVMs) with graph kernels generated from a Laplacian matrix. We intr...
Yasutoshi Yajima, Tien-Fang Kuo
82
Voted
CVPR
2010
IEEE
15 years 9 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
70
Voted
MICRO
2000
IEEE
98views Hardware» more  MICRO 2000»
15 years 5 months ago
Efficient conditional operations for data-parallel architectures
Many data-parallel applications, including emerging media applications, have regular structures that can easily be expressed as a series of arithmetic kernels operating on data st...
Ujval J. Kapasi, William J. Dally, Scott Rixner, P...
NIPS
2004
15 years 2 months ago
Parallel Support Vector Machines: The Cascade SVM
We describe an algorithm for support vector machines (SVM) that can be parallelized efficiently and scales to very large problems with hundreds of thousands of training vectors. I...
Hans Peter Graf, Eric Cosatto, Léon Bottou,...
118
Voted
FSTTCS
2009
Springer
15 years 7 months ago
Kernels for Feedback Arc Set In Tournaments
A tournament T = (V, A) is a directed graph in which there is exactly one arc between every pair of distinct vertices. Given a digraph on n vertices and an integer parameter k, th...
Stéphane Bessy, Fedor V. Fomin, Serge Gaspe...