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» On Learning with Integral Operators
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ICTAI
2009
IEEE
16 years 1 months ago
Learning for Dynamic Subsumption
This paper presents an original dynamic subsumption technique for Boolean CNF formulae. It exploits simple and sufficient conditions to detect, during conflict analysis, clauses...
Youssef Hamadi, Saïd Jabbour, Lakhdar Sais
ICASSP
2008
IEEE
16 years 1 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
ICCAD
2008
IEEE
107views Hardware» more  ICCAD 2008»
16 years 1 months ago
Importance sampled circuit learning ensembles for robust analog IC design
This paper presents ISCLEs, a novel and robust analog design method that promises to scale with Moore’s Law, by doing boosting-style importance sampling on digital-sized circuit...
Peng Gao, Trent McConaghy, Georges G. E. Gielen
ICPR
2008
IEEE
16 years 1 months ago
Video attention: Learning to detect a salient object sequence
We study video attention by detecting a salient object sequence from video segment. We formulate salient object sequence detection as energy minimization problem in a conditional ...
Tie Liu, Nanning Zheng, Wei Ding, Zejian Yuan
ICIAR
2005
Springer
16 years 4 days ago
Machine-Learning-Based Image Categorization
In this paper, a novel and efficient automatic image categorization system is proposed. This system integrates the MIL-based and global-featurebased SVMs for categorization. The IP...
Yutao Han, Xiaojun Qi