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» Improving heuristic mini-max search by supervised learning
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94
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PR
2006
101views more  PR 2006»
15 years 10 days ago
Feature-based approach to semi-supervised similarity learning
For the management of digital document collections, automatic database analysis still has ties to deal with semantic queries and abstract concepts that users are looking for. When...
Philippe Henri Gosselin, Matthieu Cord
128
Voted
KDD
2009
ACM
198views Data Mining» more  KDD 2009»
16 years 29 days ago
Heterogeneous source consensus learning via decision propagation and negotiation
Nowadays, enormous amounts of data are continuously generated not only in massive scale, but also from different, sometimes conflicting, views. Therefore, it is important to conso...
Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
110
Voted
ICIP
2006
IEEE
16 years 2 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
DIS
2010
Springer
14 years 11 months ago
Speeding Up and Boosting Diverse Density Learning
Abstract. In multi-instance learning, each example is described by a bag of instances instead of a single feature vector. In this paper, we revisit the idea of performing multi-ins...
James R. Foulds, Eibe Frank
102
Voted
KDD
2002
ACM
186views Data Mining» more  KDD 2002»
16 years 25 days ago
Topic-conditioned novelty detection
Automated detection of the first document reporting each new event in temporally-sequenced streams of documents is an open challenge. In this paper we propose a new approach which...
Yiming Yang, Jian Zhang, Jaime G. Carbonell, Chun ...