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    Tensor Voting : A Perceptual Organization Approach to Computer Vision and Machine Learning

    Mordohai, Philippos / Medioni, Gérard | TIBKAT | 2006
    Schlagwörter: Machine learning

    Extraction of Main Urban Roads from High Resolution Satellite Images by Machine Learning

    Wang, Yanqing / Tian, Yuan / Tai, Xianqing et al. | Springer Verlag | 2006
    Schlagwörter: Machine Learning

    Surface EMG for Force Control of Mechanical Hands

    Freier Zugriff
    Castellini, Claudio / Smagt van der, Patrick / Sandini, Giulio et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2008
    Schlagwörter: machine learning

    Integrated driver modelling considering state transition feature for individual adaptation of driver assistance systems

    Raksincharoensak, Pongsathorn / Khaisongkram, Wathanyoo / Nagai, Masao et al. | Taylor & Francis Verlag | 2010
    Schlagwörter: statistical machine learning

    Analyzing angle crashes at unsignalized intersections using machine learning techniques

    Abdel-Aty, Mohamed / Haleem, Kirolos | Elsevier | 2010
    Schlagwörter: Machine learning

    Prediction of finger movements using ultrasound images

    Freier Zugriff
    Zarka, Emanuel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2011
    Schlagwörter: machine learning

    Learning of Facial Gestures Using SVMs

    Baltes, Jacky / Seo, Stela / Cheng, Chi Tai et al. | Springer Verlag | 2011
    Schlagwörter: Machine Learning

    Adhering to Terrain Characteristics for Position Estimation of Mobile Robots

    Brunner, Michael / Schulz, Dirk / Cremers, Armin B. | Springer Verlag | 2011
    Schlagwörter: Machine learning

    Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach

    Greggio, Nicola / Bernardino, Alexandre / Santos-Victor, José | Springer Verlag | 2011
    Schlagwörter: Unsupervised learning , Machine learning

    Factor complexity of crash occurrence: An empirical demonstration using boosted regression trees

    Chung, Yi-Shih | Elsevier | 2012
    Schlagwörter: Machine learning

    Mobile WEKA as Data Mining Tool on Android

    Liu, Pengfei / Chen, Yanhua / Tang, Wulei et al. | Springer Verlag | 2012
    Schlagwörter: Machine learning

    Computer vision and driver distraction: Developing a behaviour-flagging protocol for naturalistic driving data

    Kuo, Jonny / Koppel, Sjaan / Charlton, Judith L. et al. | Elsevier | 2014
    Schlagwörter: Machine learning

    Machine learning approaches to analysing textual injury surveillance data: A systematic review

    Vallmuur, Kirsten | Elsevier | 2015
    Schlagwörter: Machine learning

    Classifying injury narratives of large administrative databases for surveillance—A practical approach combining machine learning ensembles and human review

    Marucci-Wellman, Helen R. / Corns, Helen L. / Lehto, Mark R. | Elsevier | 2016
    Schlagwörter: Machine learning

    Red-light running violation prediction using observational and simulator data

    Jahangiri, Arash / Rakha, Hesham / Dingus, Thomas A. | Elsevier | 2016
    Schlagwörter: Machine learning

    A methodology to design heuristics for model selection based on the characteristics of data: Application to investigate when the Negative Binomial Lindley (NB-L) is preferred over the Negative Binomial (NB)

    Shirazi, Mohammadali / Dhavala, Soma Sekhar / Lord, Dominique et al. | Elsevier | 2017
    Schlagwörter: Machine Learning

    Data-driven train set crash dynamics simulation

    Tang, Zhao / Zhu, Yunrui / Nie, Yinyu et al. | Taylor & Francis Verlag | 2017
    Schlagwörter: machine learning

    A data-driven dynamics simulation framework for railway vehicles

    Nie, Yinyu / Tang, Zhao / Liu, Fengjia et al. | Taylor & Francis Verlag | 2018
    Schlagwörter: machine learning

    Behavior-specific proprioception models for robotic force estimation : a machine learning approach

    Freier Zugriff
    Berger, Erik | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

    Computational methods for cognitive and cooperative robotics

    Freier Zugriff
    Mukovskiy, Albert | TIBKAT | 2018
    Schlagwörter: Maschinelles Lernen

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