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» A Semi-Supervised Document Clustering Algorithm Based on EM
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WWW
2002
ACM
16 years 2 months ago
Using web structure for classifying and describing web pages
The structure of the web is increasingly being used to improve organization, search, and analysis of information on the web. For example, Google uses the text in citing documents ...
Eric J. Glover, Kostas Tsioutsiouliklis, Steve Law...
CIKM
2008
Springer
15 years 3 months ago
Peer-to-peer similarity search over widely distributed document collections
This paper addresses the challenging problem of similarity search over widely distributed ultra-high dimensional data. Such an application is retrieval of the top-k most similar d...
Christos Doulkeridis, Kjetil Nørvåg, ...
AAAI
2010
15 years 3 months ago
Assisting Users with Clustering Tasks by Combining Metric Learning and Classification
Interactive clustering refers to situations in which a human labeler is willing to assist a learning algorithm in automatically clustering items. We present a related but somewhat...
Sumit Basu, Danyel Fisher, Steven M. Drucker, Hao ...
DAS
2004
Springer
15 years 7 months ago
Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid
This paper presents the result of an adaptive region growing segmentation technique for color document images using an irregular pyramid structure. The emphasis is in the segmentat...
Poh Kok Loo, Chew Lim Tan
AAAI
2004
15 years 3 months ago
Text Classification by Labeling Words
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu