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DAWAK
2004
Springer
15 years 5 months ago
A Tree Partitioning Method for Memory Management in Association Rule Mining
All methods of association rule mining require the frequent sets of items, that occur together sufficiently often to be the basis of potentially interesting rules, to be first com...
Shakil Ahmed, Frans Coenen, Paul H. Leng
ICIP
2005
IEEE
16 years 1 months ago
Motion-compensation using variable-size block-matching with binary partition trees
A new approach to Variable Size Block Matching is proposed, based on the binary partitioning of blocks. If a particular block does not allow for accurate motion compensation, then...
Marc Servais, Theodore Vlachos, Thomas Davies
ICPR
2006
IEEE
16 years 24 days ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders
KDD
1995
ACM
148views Data Mining» more  KDD 1995»
15 years 3 months ago
Learning Arbiter and Combiner Trees from Partitioned Data for Scaling Machine Learning
Knowledge discovery in databases has become an increasingly important research topic with the advent of wide area network computing. One of the crucial problems we study in this p...
Philip K. Chan, Salvatore J. Stolfo
SODA
1992
ACM
252views Algorithms» more  SODA 1992»
15 years 26 days ago
A General Approximation Technique for Constrained Forest Problems
We present a general approximation technique for a large class of graph problems. Our technique mostly applies to problems of covering, at minimum cost, the vertices of a graph wit...
Michel X. Goemans, David P. Williamson