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SETN
2004
Springer
14 years 1 months ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
CVPR
2010
IEEE
14 years 4 months ago
Automatic Image Annotation Using Group Sparsity
Automatically assigning relevant text keywords to images is an important problem. Many algorithms have been proposed in the past decade and achieved good performance. Efforts have...
Shaoting Zhang, Junzhou Huang, Yuchi Huang, Yang Y...
SIGMOD
2006
ACM
111views Database» more  SIGMOD 2006»
14 years 8 months ago
Reconciling while tolerating disagreement in collaborative data sharing
In many data sharing settings, such as within the biological and biomedical communities, global data consistency is not always attainable: different sites' data may be dirty,...
Nicholas E. Taylor, Zachary G. Ives
WWW
2007
ACM
14 years 9 months ago
U-REST: an unsupervised record extraction system
In this paper, we describe a system that can extract record structures from web pages with no direct human supervision. Records are commonly occurring HTML-embedded data tuples th...
Yuan Kui Shen, David R. Karger
ICPR
2004
IEEE
14 years 9 months ago
Efficient Calculation of the Complete Optimal Classification Set
Feature and structure selection is an important part of many classification problems. In previous papers, an approach called basis pursuit classification has been proposed which p...
Martin Brown, Nicholas Costen, Shigeru Akamatsu