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» Feature selection through gravitational search algorithm
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CVPR
2008
IEEE
15 years 11 months ago
Filtering Internet image search results towards keyword based category recognition
In this work we aim to capitalize on the availability of Internet image search engines to automatically create image training sets from user provided queries. This problem is part...
Kamil Wnuk, Stefano Soatto
ISNN
2011
Springer
14 years 12 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
CIKM
2004
Springer
15 years 2 months ago
Document clustering based on cluster validation
This paper presents a cluster validation based document clustering algorithm, which is capable of identifying both important feature words and true model order (cluster number). I...
Zheng-Yu Niu, Dong-Hong Ji, Chew Lim Tan
ICIAP
2001
Springer
15 years 9 months ago
A World Wide Web Region-Based Image Search Engine
In this paper the development of an intelligent image content-based search engine for the World Wide Web is presented. Information Web Crawlers continuously traverse the Internet ...
Ioannis Kompatsiaris, Evangelia Triantafyllou, Mic...
CEC
2009
IEEE
15 years 4 months ago
Dispatching rules for production scheduling: A hyper-heuristic landscape analysis
— Hyper-heuristics or “heuristics to chose heuristics” are an emergent search methodology that seeks to automate the process of selecting or combining simpler heuristics in o...
Gabriela Ochoa, José Antonio Vázquez...