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COLING
2010
12 years 12 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
ECCV
2000
Springer
14 years 6 months ago
Learning Similarity for Texture Image Retrieval
A novel algorithm is proposed to learn pattern similarities for texture image retrieval. Similar patterns in di erent texture classes are grouped into a cluster in the feature spac...
Guodong Guo, Stan Z. Li, Kap Luk Chan
SEMCO
2007
IEEE
13 years 11 months ago
Clustering Using Feature Domain Similarity to Discover Word Senses for Adjectives
This paper presents a new clustering algorithm called DSCBC which is designed to automatically discover word senses for polysemous words. DSCBC is an extension of CBC Clustering [...
Noriko Tomuro, Steven L. Lytinen, Kyoko Kanzaki, H...
SIGSOFT
2005
ACM
13 years 10 months ago
Detecting higher-level similarity patterns in programs
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...
Hamid Abdul Basit, Stan Jarzabek
WWW
2004
ACM
14 years 5 months ago
Similarity spreading: a unified framework for similarity calculation of interrelated objects
In many Web search applications, similarities between objects of one type (say, queries) can be affected by the similarities between their interrelated objects of another type (sa...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...