The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition

D Windridge; V Mottl; A Tatarchuk; A Eliseyev; M Haindl; J Kittler; F Roli

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The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition

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The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition

D Windridge, V Mottl, A Tatarchuk, A Eliseyev, M Haindl, J Kittler and F Roli

Multiple Classifier Systems, Proceedings, Vol.4472, pp.13-21

7th International Workshop on Multiple Classifier Systems (Prague, CZECH REPUBLIC, 23/05/2007 - 25/05/2007)

01/01/2007

Abstract

Science & Technology

Technology

Computer Science

Artificial Intelligence

Computer Science

Theory & Methods

Computer Science

kernel-based pattern recognition

combining modalities

kernel fusion

classifier fusion

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Title: The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition
Creators: D Windridge
V Mottl
A Tatarchuk
A Eliseyev
M Haindl
J Kittler
F Roli
Contributors: SPRINGER-VERLAG BERLIN (null)
Publication Details: Multiple Classifier Systems, Proceedings, Vol.4472, pp.13-21
Conference: 7th International Workshop on Multiple Classifier Systems (Prague, CZECH REPUBLIC, 23/05/2007 - 25/05/2007)
Date published: 01/01/2007
Date submitted: 30/08/2013
Identifiers: 99512952202346
Academic Unit: School of Computer Science and Electronic Engineering
Resource Type: Conference presentation

The neutral point method for kernel-based combination of disjoint training data in multi-modal pattern recognition

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