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» A Semi-Supervised Document Clustering Algorithm Based on EM
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ICIP
2005
IEEE
16 years 3 months ago
Segmenting small regions in the presence of noise
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
Rashi Samur, Vitali Zagorodnov
WEBI
2005
Springer
15 years 7 months ago
A Method of Web Search Result Clustering Based on Rough Sets
Due to the enormous size of the web and low precision of user queries, finding the right information from the web can be difficult if not impossible. One approach that tries to ...
Chi Lang Ngo, Hung Son Nguyen
ISCI
2010
175views more  ISCI 2010»
15 years 4 days ago
Clustering web people search results using fuzzy ants
Person name queries often bring up web pages that correspond to individuals sharing the same name. The Web People Search (WePS) task consists of organizing search results for ambi...
Els Lefever, Timur Fayruzov, Véronique Host...
SIGIR
2002
ACM
15 years 1 months ago
Generic summarization and keyphrase extraction using mutual reinforcement principle and sentence clustering
A novel method for simultaneous keyphrase extraction and generic text summarization is proposed by modeling text documents as weighted undirected and weighted bipartite graphs. Sp...
Hongyuan Zha
CIKM
2009
Springer
15 years 8 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber