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ICPPW
2003
IEEE
16 years 2 days ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
JMLR
2010
225views more  JMLR 2010»
15 years 1 months ago
Hartigan's Method: k-means Clustering without Voronoi
Hartigan's method for k-means clustering is the following greedy heuristic: select a point, and optimally reassign it. This paper develops two other formulations of the heuri...
Matus Telgarsky, Andrea Vattani
VLDB
2005
ACM
118views Database» more  VLDB 2005»
16 years 8 days ago
Selectivity Estimation for Fuzzy String Predicates in Large Data Sets
Many database applications have the emerging need to support fuzzy queries that ask for strings that are similar to a given string, such as “name similar to smith” and “tele...
Liang Jin, Chen Li
JMLR
2006
125views more  JMLR 2006»
15 years 6 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
ICDE
2009
IEEE
155views Database» more  ICDE 2009»
16 years 8 months ago
Finding Time-Lagged 3D Clusters
Existing 3D clustering algorithms on gene ? sample ? time expression data do not consider the time lags between correlated gene expression patterns. Besides, they either ignore the...
Xin Xu, Ying Lu, Kian-Lee Tan, Anthony K. H. Tung