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DBKDA
2009
IEEE
136views Database» more  DBKDA 2009»
14 years 19 days ago
Visualization and Integration of Databases Using Self-Organizing Map
Abstract--With the growing computer networks, accessible data is becoming increasing distributed. Understanding and integrating remote and unfamiliar data sources are important dat...
Farid Bourennani, Ken Q. Pu, Ying Zhu
ACL
1993
13 years 10 months ago
Towards the Automatic Identification of Adjectival Scales: Clustering Adjectives According to Meaning
In this paper we present a method to group adjectives according to their meaning, as a first step towards the automatic identification of adjectival scales. We discuss the propert...
Vasileios Hatzivassiloglou, Kathleen McKeown
MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 2 months ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
ICALP
2009
Springer
14 years 9 months ago
Correlation Clustering Revisited: The "True" Cost of Error Minimization Problems
Correlation Clustering was defined by Bansal, Blum, and Chawla as the problem of clustering a set of elements based on a possibly inconsistent binary similarity function between e...
Nir Ailon, Edo Liberty
DEXAW
2010
IEEE
201views Database» more  DEXAW 2010»
13 years 7 months ago
Keyword Extraction Using Word Co-occurrence
—A common strategy to assign keywords to documents is to select the most appropriate words from the document text. One of the most important criteria for a word to be selected as...
Christian Wartena, Rogier Brussee, Wout Slakhorst