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GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
15 years 9 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 11 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 11 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
16 years 4 days 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
15 years 1 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