A modified neutral point method for kernel-based fusion of pattern-recognition modalities with incomplete data sets

Maxim Panov, Alexander Tatarchuk, Vadim Mottl, David Windridge

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)

    Abstract

    It is commonly the case in multi-modal pattern recognition that certain modality-specific object features are missing in the training set. We address here the missing data problem for kernel-based Support Vector Machines, in which each modality is represented by the respective kernel matrix over the set of training objects, such that the omission of a modality for some object manifests itself as a blank in the modality-specific kernel matrix at the relevant position. We propose to fill the blank positions in the collection of training kernel matrices via a variant of the Neutral Point Substitution (NPS) method, where the term "neutral point" stands for the locus of points defined by the "neutral hyperplane" in the hypothetical linear space produced by the respective kernel. The current method crucially differs from the previously developed neutral point approach in that it is capable of treating missing data in the training set on the same basis as missing data in the test set. It is therefore of potentially much wider applicability. We evaluate the method on the Biosecure DS2 data set.

    Original languageEnglish
    Title of host publicationMultiple Classifier Systems - 10th International Workshop, MCS 2011, Proceedings
    Pages126-136
    Number of pages11
    DOIs
    Publication statusPublished - 2011
    Event10th International Workshop on Multiple Classifier Systems, MCS 2011 - Naples, Italy
    Duration: 15 Jun 201117 Jun 2011

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume6713 LNCS
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Workshop on Multiple Classifier Systems, MCS 2011
    Country/TerritoryItaly
    CityNaples
    Period15/06/1117/06/11

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