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NIPS
2007
15 years 8 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
Vittorio Ferrari, Andrew Zisserman
NIPS
2007
15 years 8 months ago
Boosting Algorithms for Maximizing the Soft Margin
We present a novel boosting algorithm, called SoftBoost, designed for sets of binary labeled examples that are not necessarily separable by convex combinations of base hypotheses....
Manfred K. Warmuth, Karen A. Glocer, Gunnar Rä...
SWWS
2008
15 years 8 months ago
A Harmony based Adaptive Ontology Mapping Approach
- Ontology mapping seeks to find semantic correspondences between similar elements of different ontologies. Ontology mapping is critical to achieve semantic interoperability in the...
Ming Mao, Yefei Peng, Michael Spring
TREC
2008
15 years 8 months ago
Extending Relevance Model for Relevance Feedback
Relevance feedback is the retrieval task where the system is given not only an information need, but also some relevance judgement information, usually from users' feedback f...
Le Zhao, Chenmin Liang, Jamie Callan
SDM
2007
SIAM
137views Data Mining» more  SDM 2007»
15 years 8 months ago
Are approximation algorithms for consensus clustering worthwhile?
Consensus clustering has emerged as one of the principal clustering problems in the data mining community. In recent years the theoretical computer science community has generated...
Michael Bertolacci, Anthony Wirth
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