Search Results - Biem, A.

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  1. 1
    Minimum classification error training for online handwriting recognition

    Minimum classification error training for online handwriting recognition by Biem, A.

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  2. 2
    Semisupervised Least Squares Support Vector Machine

    Semisupervised Least Squares Support Vector Machine by Adankon, M.M., Cheriet, M., Biem, A.

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  3. 3
    Maximization of mutual information for offline Thai handwriting recognition

    Maximization of mutual information for offline Thai handwriting recognition by Nopsuwanchai, R., Biem, A., Clocksin, W.F.

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  4. 4
    Pattern recognition using discriminative feature extraction

    Pattern recognition using discriminative feature extraction by Biem, A., Katagiri, S., Biing-Hwang Juang

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  5. 5
    An application of discriminative feature extraction to filter-bank-based speech recognition

    An application of discriminative feature extraction to filter-bank-based speech recognition by Biem, A., Katagiri, S., McDermott, E., Biing-Hwang Juang

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  6. 6
    Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM

    Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM by Adankon, M M, Cheriet, M, Biem, A

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  7. 7
    Real-time analysis and management of big time-series data

    Real-time analysis and management of big time-series data by Biem, A., Feng, H., Riabov, A. V., Turaga, D. S.

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  8. 8
    Minimum classification error training for online handwritten word recognition

    Minimum classification error training for online handwritten word recognition by Biem, A.

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  9. 9
    Real-time analysis for short-term prognosis in intensive care

    Real-time analysis for short-term prognosis in intensive care by Sow, D. M., Sun, J., Biem, A., Hu, J., Blount, M. L., Ebadollahi, S.

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  10. 10
    A model selection criterion for classification: application to HMM topology optimization

    A model selection criterion for classification: application to HMM topology optimization by Biem, A.

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  11. 11
    Discriminative training for large vocabulary telephone-based name recognition

    Discriminative training for large vocabulary telephone-based name recognition by McDermott, E., Biem, A., Tenpaku, S., Katagiri, S.

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  12. 12
    A Value Network Model for Strategic Analysis

    A Value Network Model for Strategic Analysis by Biem, A., Caswell, N.

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  13. 13
    Optimizing features and models using the minimum classification error criterion

    Optimizing features and models using the minimum classification error criterion by Biem, A.

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  14. 14
    Cepstrum-based filter-bank design using discriminative feature extraction training at various levels

    Cepstrum-based filter-bank design using discriminative feature extraction training at various levels by Biem, A., Katagiri, S.

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  15. 15
    Feature extraction based on minimum classification error/generalized probabilistic descent method

    Feature extraction based on minimum classification error/generalized probabilistic descent method by Biem, A., Katagiri, S.

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  16. 16
    HMM topology optimization for handwriting recognition

    HMM topology optimization for handwriting recognition by Danfeng Li, Biem, A., Subrahmonia, J.

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  17. 17
    Efficient normalization based upon GPD [generalized probabilistic descent]

    Efficient normalization based upon GPD [generalized probabilistic descent] by Woudenberg, E., Biem, A., McDermott, E., Katagiri, S.

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  18. 18
    Direction of Arrival estimation using single tripole radio antenna

    Direction of Arrival estimation using single tripole radio antenna by Daldorff, L.K.S., Turaga, D.S., Verscheure, O., Biem, A.

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  19. 19
    Minimum classification error training of hidden Markov models for handwriting recognition

    Minimum classification error training of hidden Markov models for handwriting recognition by Biem, A.E.

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  20. 20
    A Bayesian model selection criterion for HMM topology optimization

    A Bayesian model selection criterion for HMM topology optimization by Biem, Alain, Ha, Jin-Young, Subrahmonia, Jayashree

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