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ICPR
2006
IEEE
16 years 28 days ago
Weakly Supervised Learning on Pre-image Problem in Kernel Methods
This paper presents a novel alternative approach, namely weakly supervised learning (WSL), to learn the pre-image of a feature vector in the feature space induced by a kernel. It ...
Weishi Zheng, Jian-Huang Lai, Pong Chi Yuen
ICCV
2001
IEEE
16 years 1 months ago
Noise in Bilinear Problems
: Despite the wide application of bilinear problems to problems both in computer vision and in other fields, their behaviour under the effects of noise is still poorly understood. ...
John A. Haddon, David A. Forsyth
KDD
2009
ACM
190views Data Mining» more  KDD 2009»
16 years 11 days ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
CG
1998
Springer
15 years 4 months ago
A Survey of Tsume-Shogi Programs Using Variable-Depth Search
Recently, a number of programs have been developed that successfully apply variable-depth search to find solutions for mating problems in Japanese chess, called tsume shogi. Public...
Reijer Grimbergen
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
15 years 6 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini