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ALT
2001
Springer
14 years 4 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 8 months ago
Formulating distance functions via the kernel trick
Tasks of data mining and information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be for...
Gang Wu, Edward Y. Chang, Navneet Panda
EUROCRYPT
2004
Springer
14 years 1 months ago
Hash Function Balance and Its Impact on Birthday Attacks
Textbooks tell us that a birthday attack on a hash function h with range size r requires r1/2 trials (hash computations) to find a collision. But this is quite misleading, being t...
Mihir Bellare, Tadayoshi Kohno
DATE
2002
IEEE
94views Hardware» more  DATE 2002»
14 years 19 days ago
FACTOR: A Hierarchical Methodology for Functional Test Generation and Testability Analysis
This paper develops an improved approach for hierarchical functional test generation for complex chips. In order to deal with the increasing complexity of functional test generati...
Vivekananda M. Vedula, Jacob A. Abraham
ICIP
2002
IEEE
14 years 9 months ago
DPF - a perceptual distance function for image retrieval
For almost a decade, Content-Based Image Retrieval has been an active research area, yet one fundamental problem remains largely unsolved: how to measure perceptual similarity. To...
Baitao Li Chang, E. Ching-Tung Wu