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» Collaborative Learning for Constraint Solving
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ICASSP
2008
IEEE
14 years 3 months ago
Nested support vector machines
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
Gyemin Lee, Clayton Scott
IVA
2010
Springer
13 years 7 months ago
Interactive Motion Modeling and Parameterization by Direct Demonstration
Abstract. While interactive virtual humans are becoming widely used in education, training and therapeutic applications, building animations which are both realistic and parameteri...
Carlo Camporesi, Yazhou Huang, Marcelo Kallmann
CIKM
2009
Springer
14 years 3 months ago
A social recommendation framework based on multi-scale continuous conditional random fields
This paper addresses the issue of social recommendation based on collaborative filtering (CF) algorithms. Social recommendation emphasizes utilizing various attributes informatio...
Xin Xin, Irwin King, Hongbo Deng, Michael R. Lyu
CVPR
2004
IEEE
14 years 10 months ago
Super-Resolution through Neighbor Embedding
In this paper, we propose a novel method for solving single-image super-resolution problems. Given a low-resolution image as input, we recover its highresolution counterpart using...
Hong Chang, Dit-Yan Yeung, Yimin Xiong
ICML
2007
IEEE
14 years 9 months ago
What is decreased by the max-sum arc consistency algorithm?
Inference tasks in Markov random fields (MRFs) are closely related to the constraint satisfaction problem (CSP) and its soft generalizations. In particular, MAP inference in MRF i...
Tomás Werner