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» Optimization and Simplification of Hierarchical Clusterings
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ICIP
2008
IEEE
14 years 1 months ago
Wavelet-based hybrid multilinear models for multidimensional image approximation
The wavelet transform hierarchically decomposes images with prescribed bases, while multilineal models search for optimal bases to adapt visual data. In this paper, we integrate t...
Qing Wu, Chun Chen, Yizhou Yu
ICSM
2003
IEEE
14 years 20 days ago
Library Miniaturization Using Static and Dynamic Information
Moving to smaller libraries can be considered as a relevant task when porting software systems to limited-resource devices (e.g., hand-helds). Library miniaturization will be part...
Giuliano Antoniol, Massimiliano Di Penta
GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
13 years 8 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
IPPS
1995
IEEE
13 years 11 months ago
Operating system support for concurrent remote task creation
This paper describes improvements to the Mach microkernel’s support for efficient application startup across multiple nodes in a cluster or massively parallel processor. Signifi...
Dejan S. Milojicic, David L. Black, Steven J. Sear...
APVIS
2009
13 years 8 months ago
HiMap: Adaptive visualization of large-scale online social networks
Visualizing large-scale online social network is a challenging yet essential task. This paper presents HiMap, a system that visualizes it by clustered graph via hierarchical group...
Lei Shi, Nan Cao, Shixia Liu, Weihong Qian, Li Tan...