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» Comparative analysis of biclustering algorithms
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ICIP
2008
IEEE
16 years 2 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
ICML
2007
IEEE
16 years 1 months ago
Feature selection in a kernel space
We address the problem of feature selection in a kernel space to select the most discriminative and informative features for classification and data analysis. This is a difficult ...
Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng...
132
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DAMON
2008
Springer
15 years 2 months ago
Fast scans and joins using flash drives
As access times to main memory and disks continue to diverge, faster non-volatile storage technologies become more attractive for speeding up data analysis applications. NAND flas...
Mehul A. Shah, Stavros Harizopoulos, Janet L. Wien...
HIS
2008
15 years 2 months ago
New Crossover Operator for Evolutionary Rule Discovery in XCS
XCS is a learning classifier system that combines a reinforcement learning scheme with evolutionary algorithms to evolve rule sets on-line by means of the interaction with an envi...
Sergio Morales-Ortigosa, Albert Orriols-Puig, Este...
KDD
2002
ACM
184views Data Mining» more  KDD 2002»
16 years 1 months ago
The Community of Multimedia Agents
Multimedia data mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project is devoted to creating a community of re...
Gang Wei, Valery A. Petrushin, Anatole Gershman