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ICPR
2008
IEEE
15 years 11 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
137
Voted
ICDM
2003
IEEE
111views Data Mining» more  ICDM 2003»
15 years 10 months ago
OP-Cluster: Clustering by Tendency in High Dimensional Space
Clustering is the process of grouping a set of objects into classes of similar objects. Because of unknownness of the hidden patterns in the data sets, the definition of similari...
Jinze Liu, Wei Wang 0010
WWW
2005
ACM
16 years 5 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger
PODS
2007
ACM
104views Database» more  PODS 2007»
16 years 4 months ago
XML transformation by tree-walking transducers with invisible pebbles
The pebble tree automaton and the pebble tree transducer are enhanced by additionally allowing an unbounded number of `invisible' pebbles (as opposed to the usual `visible�...
Joost Engelfriet, Hendrik Jan Hoogeboom, Bart Samw...
EDBT
2008
ACM
159views Database» more  EDBT 2008»
16 years 4 months ago
Automaton in or out: run-time plan optimization for XML stream processing
Many systems such as Tukwila and YFilter combine automaton and algebra techniques to process queries over tokenized XML streams. Typically in this architecture, an automaton is fi...
Hong Su, Elke A. Rundensteiner, Murali Mani