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» Feature Selection for Clustering
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MMM
2007
Springer
143views Multimedia» more  MMM 2007»
16 years 26 days ago
Semi-supervised Cast Indexing for Feature-Length Films
Abstract. Cast indexing is a very important application for contentbased video browsing and retrieval, since the characters in feature-length films and TV series are always the ma...
Wei Fan, Tao Wang, Jean-Yves Bouguet, Wei Hu, Yimi...
VISUALIZATION
2003
IEEE
15 years 12 months ago
Feature Space Analysis of Unstructured Meshes
Unstructured meshes are often used in simulations and imaging applications. They provide advanced flexibility in modeling abilities but are more difficult to manipulate and anal...
Ariel Shamir
CIKM
2009
Springer
16 years 1 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
MM
2009
ACM
163views Multimedia» more  MM 2009»
16 years 1 months ago
ISP-friendly peer selection in P2P networks
Peer-to-peer (P2P) multicast is a scalable solution adopted by many video streaming systems. However, a prevalence of P2P applications has caused heavy traffic on the Internet. W...
Zhijie Shen, Roger Zimmermann
AAAI
2011
14 years 6 months ago
Improving Semi-Supervised Support Vector Machines Through Unlabeled Instances Selection
Semi-supervised support vector machines (S3VMs) are a kind of popular approaches which try to improve learning performance by exploiting unlabeled data. Though S3VMs have been fou...
Yu-Feng Li, Zhi-Hua Zhou