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IJCAI
2007
15 years 7 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
HT
2009
ACM
16 years 28 days ago
Sixearch.org 2.0 peer application for collaborative web search
Sixearch.org is a peer application for social, distributed, adaptive Web search, which integrates the Sixearch.org protocol, a topical crawler, a document indexing system, a retri...
Namrata Lele, Le-Shin Wu, Ruj Akavipat, Filippo Me...
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
16 years 13 days ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung
CIKM
2008
Springer
15 years 8 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
FUIN
2010
94views more  FUIN 2010»
15 years 5 months ago
A Framework for Iterated Belief Revision Using Possibilistic Counterparts to Jeffrey's Rule
Intelligent agents require methods to revise their epistemic state as they acquire new information. Jeffrey’s rule, which extends conditioning to probabilistic inputs, is appropr...
Salem Benferhat, Didier Dubois, Henri Prade, Mary-...