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IJCNN
2006
IEEE
16 years 20 days ago
Behavior of Fatigable SOM and its Application to Clustering
Abstract— The Self-Organizing Map (SOM) is popular algorithm for unsupervised learning and visualization introduced by Teuvo Kohonen. One of the most attractive applications of S...
Masato Tomita, Haruna Matsushita, Yoshifumi Nishio
EUC
2004
Springer
16 years 15 hour ago
Implementing Cooperative Caching in Distributed Streaming Media Server Clusters
Abstract. In distributed streaming media server clusters, by adopting cooperative caching (CC) technique, the free memory of all the servers can be combined to form a bigger, logic...
Tiecheng Gu, Baoliu Ye, Minyi Guo, Daoxu Chen
AUSAI
2003
Springer
15 years 12 months ago
Efficiently Mining Frequent Patterns from Dense Datasets Using a Cluster of Computers
Efficient mining of frequent patterns from large databases has been an active area of research since it is the most expensive step in association rules mining. In this paper, we pr...
Yudho Giri Sucahyo, Raj P. Gopalan, Amit Rudra
NIPS
2008
15 years 8 months ago
Regularized Co-Clustering with Dual Supervision
By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surprisingly impressive perf...
Vikas Sindhwani, Jianying Hu, Aleksandra Mojsilovi...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
16 years 1 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng