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ECML
2004
Springer
14 years 1 months ago
A Boosting Approach to Multiple Instance Learning
In this paper we present a boosting approach to multiple instance learning. As weak hypotheses we use balls (with respect to various metrics) centered at instances of positive bags...
Peter Auer, Ronald Ortner
CVPR
2008
IEEE
14 years 9 months ago
Semi-supervised boosting using visual similarity learning
The required amount of labeled training data for object detection and classification is a major drawback of current methods. Combining labeled and unlabeled data via semisupervise...
Christian Leistner, Helmut Grabner, Horst Bischof
ICIP
2004
IEEE
14 years 9 months ago
Time-constraint boost for tv commercials detection
Commercials detection is very important for TV broadcast analysis. However, independent classification of video shots is very difficult because a considerable portion of individua...
Tie-Yan Liu, Tao Qin, HongJiang Zhang
ICDE
2011
IEEE
225views Database» more  ICDE 2011»
12 years 11 months ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo
ICASSP
2007
IEEE
14 years 2 months ago
Exploiting Concept Association to Boost Multimedia Semantic Concept Detection
In the paper we study the efficiency of semantic concept association in multimedia semantic concept detection. We present an approach to automatically learn from the corpus the as...
Sheng Gao, Xinglei Zhu, Qibin Sun