486 search results - page 50 / 98 » Boosting and Hard-Core Sets |
136
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MCS
2000
Springer
15 years 4 months ago
2000
Springer
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
117
Voted
ACL
2006
15 years 1 months ago
2006
This paper proposes a knowledge representation model and a logic proving setting with axioms on demand successfully used for recognizing textual entailments. It also details a lex...
107
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COLING
2002
15 years 9 days ago
2002
We describe an in-depth study of using a dictionary (WordNet) and web search engines (Altavista, MSN, and Google) to boost the performance of an automated question answering syste...
97
Voted
ECCV
2006
Springer
16 years 2 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
108
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ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
We describe a method for automatically and adaptively boosting the visibility of local features in an image. A log intensity image is first decomposed into a set of subbands at mu...