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» Composite feature modeling and retrieval
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SIGIR
2010
ACM
13 years 12 months ago
Multilabel classification with meta-level features
Effective learning in multi-label classification (MLC) requires an ate level of abstraction for representing the relationship between each instance and multiple categories. Curren...
Siddharth Gopal, Yiming Yang
MMM
2008
Springer
128views Multimedia» more  MMM 2008»
14 years 2 months ago
Semantic Quantization of 3D Human Motion Capture Data Through Spatial-Temporal Feature Extraction
3D motion capture is a form of multimedia data that is widely used in animation and medical fields (such as physical medicine and rehabilitation where body joint analysis is neede...
Yohan Jin, B. Prabhakaran
WEBI
2009
Springer
14 years 2 months ago
Learning Deep Web Crawling with Diverse Features
—The key to Deep Web crawling is to submit promising keywords to query form and retrieve Deep Web content efficiently. To select keywords, existing methods make a decision based ...
Lu Jiang, Zhaohui Wu, Qinghua Zheng, Jun Liu
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 1 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
TAOSD
2010
13 years 2 months ago
Aspect-Oriented Design with Reusable Aspect Models
The idea behind Aspect-Oriented Modeling (AOM) is to apply aspect-oriented techniques to (software) models with the aim of modularizing crosscutting concerns. This can be done with...
Jörg Kienzle, Wisam Al Abed, Franck Fleurey, ...