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GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 7 months ago
Properties of symmetric fitness functions
The properties of symmetric fitness functions are investigated. We show that a well-known encoding scheme inducing symmetric functions has the non-synonymous property and the sear...
Sung-Soon Choi, Yung-Keun Kwon, Byung Ro Moon
MM
2005
ACM
122views Multimedia» more  MM 2005»
15 years 9 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
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
15 years 9 months ago
Structure Search and Stability Enhancement of Bayesian Networks
Learning Bayesian network structure from large-scale data sets, without any expertspecified ordering of variables, remains a difficult problem. We propose systematic improvements ...
Hanchuan Peng, Chris H. Q. Ding
ASPLOS
2006
ACM
15 years 10 months ago
Temporal search: detecting hidden malware timebombs with virtual machines
Worms, viruses, and other malware can be ticking bombs counting down to a specific time, when they might, for example, delete files or download new instructions from a public we...
Jedidiah R. Crandall, Gary Wassermann, Daniela A. ...
PAMI
2011
14 years 11 months ago
Kernel Optimization in Discriminant Analysis
— Kernel mapping is one of the most used approaches to intrinsically derive nonlinear classifiers. The idea is to use a kernel function which maps the original nonlinearly separ...
Di You, Onur C. Hamsici, Aleix M. Martínez