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KDD
2003
ACM
124views Data Mining» more  KDD 2003»
14 years 7 months ago
Information-theoretic co-clustering
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
Inderjit S. Dhillon, Subramanyam Mallela, Dharmend...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach for the prediction of loan defaults
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made...
Oluwarotimi Odeh, Praveen Koduru, Sanjoy Das, Alle...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
14 years 28 days ago
Introducing a watermarking with a multi-objective genetic algorithm
We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm ...
Diego Sal Díaz, Manuel Grana Romay
LATIN
2004
Springer
14 years 23 days ago
Rotation and Lighting Invariant Template Matching
We address the problem of searching for a two-dimensional pattern in a two-dimensional text (or image), such that the pattern can be found even if it appears rotated and it is bri...
Kimmo Fredriksson, Veli Mäkinen, Gonzalo Nava...
ECIR
2010
Springer
13 years 9 months ago
Laplacian Co-hashing of Terms and Documents
A promising way to accelerate similarity search is semantic hashing which designs compact binary codes for a large number of documents so that semantically similar documents are ma...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu