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» Learning to cluster using local neighborhood structure
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ICPR
2010
IEEE
15 years 29 days ago
Detecting Faint Compact Sources Using Local Features and a Boosting Approach
Several techniques have been proposed so far in order to perform faint compact source detection in wide field interferometric radio images. However, all these methods can easily mi...
Albert Torrent, Marta Peracaula, Xavier Llado, Jor...
ICANN
2005
Springer
15 years 3 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li
FSKD
2006
Springer
147views Fuzzy Logic» more  FSKD 2006»
15 years 1 months ago
Adaptive Nearest Neighbor Classifier Based on Supervised Ellipsoid Clustering
Nearest neighbor classifier is a widely-used effective method for multi-class problems. However, it suffers from the problem of the curse of dimensionality in high dimensional spac...
Guo-Jun Zhang, Ji-Xiang Du, De-Shuang Huang, Tat-M...
SPAA
2005
ACM
15 years 3 months ago
Decentralized algorithms using both local and random probes for P2P load balancing
We study randomized algorithms for placing a sequence of n nodes on a circle with unit perimeter. Nodes divide the circle into disjoint arcs. We desire that a newly-arrived node (...
Krishnaram Kenthapadi, Gurmeet Singh Manku
MM
2005
ACM
122views Multimedia» more  MM 2005»
15 years 3 months ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han