%0 Conference Proceedings
%T An Infinite Mixture Model of Generalized Inverted Dirichlet Distributions for High-Dimensional Positive Data Modeling
%+ Concordia University [Montreal]
%A Bouguila, Nizar
%A Mashrgy, Mohamed, Al
%Z Part 1: Information & Communication Technology-EurAsia Conference 2014, ICT-EurAsia 2014
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia)
%C Bali, Indonesia
%Y David Hutchison
%Y Takeo Kanade
%Y Bernhard Steffen
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Gerhard Weikum
%Y Linawati
%Y Made Sudiana Mahendra
%Y Erich J. Neuhold
%Y A Min Tjoa
%Y Ilsun You
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Alfred Kobsa
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%I Springer
%3 Information and Communication Technology
%V LNCS-8407
%P 296-305
%8 2014-04-14
%D 2014
%R 10.1007/978-3-642-55032-4_29
%K Clustering
%K feature selection
%K generalized inverted Dirichlet
%K mixture models
%K Bayesian inference
%K image databases
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X We propose an infinite mixture model for the clustering of positive data. The proposed model is based on the generalized inverted Dirichlet distribution which has a more general covariance structure than the inverted Dirichlet that has been widely used recently in several machine learning and data mining applications. The proposed mixture is developed in an elegant way that allows simultaneous clustering and feature selection, and is learned using a fully Bayesian approach via Gibbs sampling. The merits of the proposed approach are demonstrated using a challenging application namely images categorization.
%G English
%Z TC 5
%Z TC 8
%2 https://inria.hal.science/hal-01397226/document
%2 https://inria.hal.science/hal-01397226/file/978-3-642-55032-4_29_Chapter.pdf
%L hal-01397226
%U https://inria.hal.science/hal-01397226
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-LNCS-8407