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CIARP
2010
Springer
13 years 9 months ago
On Improving Dissimilarity-Based Classifications Using a Statistical Similarity Measure
The aim of this paper is to present a dissimilarity measure strategy by which a new philosophy for pattern classification pertaining to dissimilaritybased classifications (DBCs) ca...
Sang-Woon Kim, Robert P. W. Duin
PAA
2008
13 years 10 months ago
Fusion of textural statistics using a similarity measure: application to texture recognition and segmentation
Abstract Features computed as statistics (e.g. histograms) of local filter responses have been reported as the most powerful descriptors for texture classification and segmentation...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Wojc...
DMIN
2006
293views Data Mining» more  DMIN 2006»
14 years 8 days ago
Arabic Text Classification Using N-Gram Frequency Statistics A Comparative Study
This paper presents the results of classifying Arabic text documents using the N-gram frequency statistics technique employing a dissimilarity measure called the "Manhattan di...
Laila Khreisat
BMCBI
2010
147views more  BMCBI 2010»
13 years 11 months ago
Indirect two-sided relative ranking: a robust similarity measure for gene expression data
Background: There is a large amount of gene expression data that exists in the public domain. This data has been generated under a variety of experimental conditions. Unfortunatel...
Louis Licamele, Lise Getoor
EMNLP
2009
13 years 8 months ago
Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
Untranslated words still constitute a major problem for Statistical Machine Translation (SMT), and current SMT systems are limited by the quantity of parallel training texts. Augm...
Yuval Marton, Chris Callison-Burch, Philip Resnik