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CVPR
2009
IEEE
15 years 2 months ago
Fast Multiple Shape Correspondence by Pre-Organizing Shape Instances
Accurately identifying corresponded landmarks from a population of shape instances is the major challenge in constructing statistical shape models. In general, shapecorrespondenc...
Andrew Temlyakov, Brent C. Munsell, Song Wang
EMMCVPR
2011
Springer
12 years 7 months ago
Multiple-Instance Learning with Structured Bag Models
Traditional approaches to Multiple-Instance Learning (MIL) operate under the assumption that the instances of a bag are generated independently, and therefore typically learn an in...
Jonathan Warrell, Philip H. S. Torr
ICMCS
2005
IEEE
221views Multimedia» more  ICMCS 2005»
14 years 29 days ago
A Multiple Instance Learning Approach for Content Based Image Retrieval Using One-Class Support Vector Machine
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. In this paper, we propose an approach based on On...
Chengcui Zhang, Xin Chen, Min Chen, Shu-Ching Chen...
CIVR
2005
Springer
123views Image Analysis» more  CIVR 2005»
14 years 28 days ago
Region-Based Image Clustering and Retrieval Using Multiple Instance Learning
Multiple Instance Learning (MIL) is a special kind of supervised learning problem that has been studied actively in recent years. We propose an approach based on One-Class Support ...
Chengcui Zhang, Xin Chen
SIGMOD
2008
ACM
145views Database» more  SIGMOD 2008»
14 years 7 months ago
Optimizing complex queries with multiple relation instances
Today's query processing engines do not take advantage of the multiple occurrences of a relation in a query to improve performance. Instead, each instance is treated as a dis...
Yu Cao, Gopal C. Das, Chee Yong Chan, Kian-Lee Tan