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» Pattern Recognition for Conditionally Independent Data
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KDD
2006
ACM
145views Data Mining» more  KDD 2006»
15 years 10 months ago
Deriving quantitative models for correlation clusters
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
Arthur Zimek, Christian Böhm, Elke Achtert, H...
CIKM
2004
Springer
15 years 2 months ago
Distributional term representations: an experimental comparison
A number of content management tasks, including term categorization, term clustering, and automated thesaurus generation, view natural language terms (e.g. words, noun phrases) as...
Alberto Lavelli, Fabrizio Sebastiani, Roberto Zano...
BMCBI
2010
125views more  BMCBI 2010»
14 years 9 months ago
NeatMap - non-clustering heat map alternatives in R
Background: The clustered heat map is the most popular means of visualizing genomic data. It compactly displays a large amount of data in an intuitive format that facilitates the ...
Satwik Rajaram, Yoshi Oono
CIKM
2011
Springer
13 years 9 months ago
Towards feature selection in network
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
Quanquan Gu, Jiawei Han
PAMI
2006
186views more  PAMI 2006»
14 years 9 months ago
Performance Evaluation of Fingerprint Verification Systems
This paper is concerned with the performance evaluation of fingerprint verification systems. After an initial classification of biometric testing initiatives, we explore both the t...
Raffaele Cappelli, Dario Maio, Davide Maltoni, Jam...