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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 9 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
ICCD
1997
IEEE
78views Hardware» more  ICCD 1997»
14 years 1 months ago
Speeding up Variable Reordering of OBDDs
In this paper, we suggest a block-restricted sifting strategy which is based on the restriction of Rudell's sifting to certain blocks of variables. The application of this st...
Christoph Meinel, Anna Slobodová
CGF
2010
127views more  CGF 2010»
13 years 9 months ago
On Discrete Killing Vector Fields and Patterns on Surfaces
Symmetry is one of the most important properties of a shape, unifying form and function. It encodes semantic information on one hand, and affects the shape's aesthetic value ...
Mirela Ben-Chen, Adrian Butscher, Justin Solomon, ...
STEP
2003
IEEE
14 years 2 months ago
Metamorphic Testing and Beyond
When testing a program, correctly executed test cases are seldom explored further, even though they may carry useful information. Metamorphic testing proposes to generate follow-u...
Tsong Yueh Chen, Fei-Ching Kuo, T. H. Tse, Zhiquan...
IRCDL
2007
13 years 10 months ago
An Hybrid Approach for Improving Word Sense Disambiguation and Text Clustering
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
Paolo Casoto, Carlo Tasso