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» Document Classification Using a Finite Mixture Model
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KES
2000
Springer
13 years 11 months ago
Genetically optimised feedforward neural networks for speaker identification
The problem of establishing the identity of a speaker from a given utterance has been conventionally addressed using techniques such as Gaussian Mixture Models (GMM's) that m...
Richard C. Price, Jonathan P. Willmore, William J....
ADAC
2010
124views more  ADAC 2010»
13 years 7 months ago
Comparing partitions of two sets of units based on the same variables
Abstract We propose a procedure based on a latent variable model for the comparison of two partitions of different units described by the same set of variables. The null hypothesis...
Genane Youness, Gilbert Saporta
ICASSP
2011
IEEE
12 years 11 months ago
Stereo audio classification for audio enhancement
Stereo audio enhancement and upmixing techniques require spatial analysis of the mixture in order to work optimally for different types of contents. In this paper a method is prop...
Aki Harma
ICASSP
2008
IEEE
14 years 2 months ago
Fine: Information embedding for document classification
The problem of document classification considers categorizing or grouping of various document types. Each document can be represented as a bag of words, which has no straightforw...
Kevin M. Carter, Raviv Raich, Alfred O. Hero
ICDAR
2003
IEEE
14 years 1 months ago
Automatic Classification of Hand Drawn Geometric Shapes using Constructional Sequence Analysis
A method for automatically assessing the constructional sequence from a neuropsychological drawing task using Hidden Markov Models is presented. We also present a method of extrac...
Richard M. Guest, Samuel Chindaro, Michael C. Fair...