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

    Результат исследований: Глава в книге, отчете, сборнике статейМатериалы для конференциирецензирование

    2 Цитирования (Scopus)

    Аннотация

    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.

    Язык оригиналаАнглийский
    Название основной публикацииMultiple Classifier Systems - 10th International Workshop, MCS 2011, Proceedings
    Страницы126-136
    Число страниц11
    DOI
    СостояниеОпубликовано - 2011
    Событие10th International Workshop on Multiple Classifier Systems, MCS 2011 - Naples, Италия
    Продолжительность: 15 июн. 201117 июн. 2011

    Серия публикаций

    НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Том6713 LNCS
    ISSN (печатное издание)0302-9743
    ISSN (электронное издание)1611-3349

    Конференция

    Конференция10th International Workshop on Multiple Classifier Systems, MCS 2011
    Страна/TерриторияИталия
    ГородNaples
    Период15/06/1117/06/11

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