Synonyme wurden verwendet für: Lernen Maschinelles Lernen
Suche ohne Synonyme: keywords:(Maschinelles Lernen)

1–20 von 178 Ergebnissen
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    Visual recognition of hexagonal headed bolts by comparing ICA to wavelets

    Mazzeo, P.L. / Ancona, N. / Stella, E. et al. | Tema Archiv | 2003
    Schlagwörter: maschinelles Sehen , Lernen

    UUV teams, control from a biological perspective

    McDowell, P. / Chen, J. / Bourgeois, B. | Tema Archiv | 2002
    Schlagwörter: Lernen , maschinelles Lernen

    Using satellite images of nighttime lights to predict the economic impact of COVID-19 in India

    Dasgupta, Nataraj | Elsevier | 2022
    Schlagwörter: Machine learning

    Using ensemble machine learning algorithm to predict forest fire occurrence probability in Madhya Pradesh and Chhattisgarh, India

    Surbhi Singh, Sumedha / Jeganathan, C. | Elsevier | 2023
    Schlagwörter: Ensemble machine learning

    Urban traffic control based on learning agents

    Gregoire, P.L. / Desjardins, C. / Laumonier, J. et al. | Tema Archiv | 2007
    Schlagwörter: Lernen , maschinelles Lernen

    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

    Unconstrained licence plate and text localization and recognition

    Matas, J. / Zimmermann, K. | Tema Archiv | 2005
    Schlagwörter: Lernen , maschinelles Lernen

    Two-dimensional pose estimation of industrial robotic arms in highly dynamic collaborative environments

    Freier Zugriff
    Gulde, Thomas / Eberhard Karls Universität Tübingen | TIBKAT | 2022
    Schlagwörter: Deep learning , Maschinelles Sehen

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

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

    Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification

    Baro, X. / Escalera, S. / Vitria, J. et al. | Tema Archiv | 2009
    Schlagwörter: maschinelles Sehen , Lernen

    Tracking and Characterization of Resident Space Objects (RSO) Using COTS Star Trackers

    D. Watts / P. Harrison | NTIS | 2020
    Schlagwörter: Machine learning

    Time resolved study of laser triggered electric discharge spark in atmosphere: Machine learning approach

    Rabasovic, Maja S. / Marinkovic, Bratislav P. / Sevic, Dragutin | Elsevier | 2022
    Schlagwörter: Machine learning

    The Causality for Climate Challenge

    Freier Zugriff
    Runge, Jakob / Tibau Alberdi, Xavier Andoni / Bruhns, Matthias et al. | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2020
    Schlagwörter: machine learning

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

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

    Systematic TLE data improvement by neural network for most cataloged resident space objects

    Bizalion, Hilaire / Guillot, Anteo / Petit, Alexis et al. | Elsevier | 2022
    Schlagwörter: Supervised machine learning

    SWS High-Level Overview

    J. Koelling / M. Davies / K. Ellis | NTIS | 2019
    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

    Sunspot cycle prediction using Warped Gaussian process regression

    Gonçalves, Ítalo G. / Echer, Ezequiel / Frigo, Everton | Elsevier | 2019
    Schlagwörter: Machine learning

    Study of Automatic Anomalous Behaviour Detection Techniques for Maritime Vessels

    Abdoulaye Sidibé | Online Contents | 2017
    Schlagwörter: Active learning , Learning behaviour , Machine learning

    Stereo vision system for longitudinal and lateral control of heterogeneous vehicle platoons on unstructured environment

    Alfraheed, Mohammad | Tema Archiv | 2012
    Schlagwörter: maschinelles Lernen , maschinelles Sehen