PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Distributed Categorizer for Large Category System
Eric Gaussier and Francois Pacull
In: NATO Advanced Study Institute on Mining Massive Data Sets for Security, September 10 - 21, 2007, Gazzada, Italy.

Abstract

We describe here a categorization system that allows to manage an arbitrary number of categories. It is based on a cascade of categorizers arranged as a tree. Categorizers are deployed on a set of machines to parallelize the processing.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:3915
Deposited By:Francois Pacull
Deposited On:25 February 2008