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SIGMOD
2010
ACM
262views Database» more  SIGMOD 2010»
15 years 11 months ago
K-nearest neighbor search for fuzzy objects
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
16 years 7 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
MM
2005
ACM
134views Multimedia» more  MM 2005»
16 years 7 days ago
Formulating context-dependent similarity functions
Tasks of information retrieval depend on a good distance function for measuring similarity between data instances. The most effective distance function must be formulated in a con...
Gang Wu, Edward Y. Chang, Navneet Panda
ICTAI
2003
IEEE
15 years 12 months ago
Eliminating Redundancies in SAT Search Trees
Conflict analysis is a powerful paradigm of backtrack search algorithms, in particular for solving satisfiability problems arising from practical applications. Accordingly, most...
Richard Ostrowski, Bertrand Mazure, Lakhdar Sais, ...
GLOBAL
2003
Springer
15 years 12 months ago
The Klaim Project: Theory and Practice
Klaim (Kernel Language for Agents Interaction and Mobility) is an experimental language specifically designed to program distributed systems consisting of several mobile component...
Lorenzo Bettini, Viviana Bono, Rocco De Nicola, Gi...