Synonyme wurden verwendet für: Lernen maschinelles Lernen
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1–20 von 234 Ergebnissen
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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

    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

    Using ultrasound images of the forearm to predict finger positions

    Freier Zugriff
    Castellini, Claudio / Passig, Georg / Zarka, Emanuel | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 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

    Crater detection via genetic search methods to reduce image features

    Cohen, Joseph Paul / Ding, Wei | Elsevier | 2013
    Schlagwörter: Machine learning

    A machine learning approach to crater detection from topographic data

    Di, Kaichang / Li, Wei / Yue, Zongyu et al. | Elsevier | 2014
    Schlagwörter: Machine learning

    Neural-Network-Inspired Machine Learning for Autonomous Lunar Targeting

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2014
    Schlagwörter: Machine Learning

    Application of the Shortest-Path Problem to Routing Terminal Airspace Air Traffic

    Sadovsky, A. V. | AIAA | 2014
    Schlagwörter: Machine Learning

    Trajectory classification in circular restricted three-body problem using support vector machine

    Li, Weipeng / Huang, Hai / Peng, Fujun | Elsevier | 2015
    Schlagwörter: Machine learning

    Radial Basis Function Artificial Neural-Network-Inspired Numerical Solver

    Wilkinson, Matthew C. / Meade, Andrew J. | AIAA | 2016
    Schlagwörter: Machine Learning

    A random forest algorithm for nowcasting of intense precipitation events

    Das, Saurabh / Chakraborty, Rohit / Maitra, Animesh | Elsevier | 2017
    Schlagwörter: Machine learning

    Automated detection of new impact sites on Martian surface from HiRISE images

    Xin, Xin / Di, Kaichang / Wang, Yexin 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

    2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017

    Cognitive Communications for Aerospace Applications Workshop / Institute of Electrical and Electronics Engineers / Institute of Electrical and Electronics Engineers, Cleveland Section et al. | TIBKAT | 2017
    Schlagwörter: Maschinelles Lernen