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EAAI
2006
157views more  EAAI 2006»
13 years 10 months ago
Color reduction and estimation of the number of dominant colors by using a self-growing and self-organized neural gas
A new method for color reduction in a digital image is proposed, which is based on the development of a new neural network classifier and on a new method for Estimation of the Mos...
Antonios Atsalakis, Nikos Papamarkos
WABI
2009
Springer
162views Bioinformatics» more  WABI 2009»
14 years 4 months ago
Aligning Biomolecular Networks Using Modular Graph Kernels
Comparative analysis of biomolecular networks constructed using measurements from different conditions, tissues, and organisms offer a powerful approach to understanding the stru...
Fadi Towfic, M. Heather West Greenlee, Vasant Hona...
ANCS
2006
ACM
14 years 4 months ago
A practical fast parallel routing architecture for Clos networks
Clos networks are an important class of switching networks due to their modular structure and much lower cost compared with crossbars. For routing I/O permutations of Clos network...
Si-Qing Zheng, Ashwin Gumaste, Enyue Lu
UAI
2003
13 years 11 months ago
Learning Module Networks
Methods for learning Bayesian networks can discover dependency structure between observed variables. Although these methods are useful in many applications, they run into computat...
Eran Segal, Dana Pe'er, Aviv Regev, Daphne Koller,...
DEXA
2010
Springer
213views Database» more  DEXA 2010»
13 years 11 months ago
Efficient K-Nearest Neighbor Search in Time-Dependent Spatial Networks
The class of k Nearest Neighbor (kNN) queries in spatial networks has been widely studied in the literature. All existing approaches for kNN search in spatial networks assume that ...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...