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» A class-feature-centroid classifier for text categorization
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KDD
2007
ACM
139views Data Mining» more  KDD 2007»
15 years 10 months ago
Raising the baseline for high-precision text classifiers
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Aleksander Kolcz, Wen-tau Yih
TMM
2011
169views more  TMM 2011»
14 years 4 months ago
Empowering Visual Categorization With the GPU
—Visual categorization is important to manage large collections of digital images and video, where textual metadata is often incomplete or simply unavailable. The bag-of-words mo...
Koen E. A. van de Sande, Theo Gevers, Cees G. M. S...
ECAI
2006
Springer
15 years 1 months ago
Automatic Term Categorization by Extracting Knowledge from the Web
This paper addresses the problem of categorizing terms or lexical entities into a predefined set of semantic domains exploiting the knowledge available on-line in the Web. The prop...
Leonardo Rigutini, Ernesto Di Iorio, Marco Ernande...
SIGIR
2008
ACM
14 years 9 months ago
On document splitting in passage detection
Passages can be hidden within a text to circumvent their disallowed transfer. Such release of compartmentalized information is of concern to all corporate and governmental organiz...
Nazli Goharian, Saket S. R. Mengle
CICLING
2007
Springer
15 years 3 months ago
Text Categorization for Improved Priors of Word Meaning
Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) s...
Rob Koeling, Diana McCarthy, John Carroll