Feature recognition

Results: 683



#Item
131

AMERICAN SIGN LANGUAGE FINGERSPELLING RECOGNITION WITH PHONOLOGICAL FEATURE-BASED TANDEM MODELS Taehwan Kim, Karen Livescu, Gregory Shakhnarovich Toyota Technological Institute at Chicago, Chicago, IL, USA {taehwan,klive

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Source URL: ttic.uchicago.edu

Language: English - Date: 2012-10-13 16:54:02
    132Feature detection / Computer vision / Vision / Artificial intelligence / Image processing / Shape context / Speeded up robust features / Feature / Outline of object recognition / Image registration / Random sample consensus / Generalised Hough transform

    Eurographics Symposium on Geometry ProcessingM. Desbrun, H. Pottmann (Editors) Robust Global Registration Natasha Gelfand † ‡

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    Source URL: geometry.stanford.edu

    Language: English - Date: 2005-06-02 18:38:48
    133

    Object Recognition and Tracking based on Object Feature Extracting Yong-Hwan Lee1 , Hyochang Ahn2∗, Han-Jin Cho1 , and June-Hwan Lee1 1 Far East University, Eumseong Chungbuk, 27601, Republic of Korea hwany1458@empal.c

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    Source URL: isyou.info

    Language: English - Date: 2015-09-07 00:43:12
      134

      LOW-LEVEL FUSION OF AUDIO AND VIDEO FEATURE FOR MULTI-MODAL EMOTION RECOGNITION Matthias Wimmer Perceptual Computing Lab, Faculty of Science and Engineering, Waseda University, Tokyo, Japan

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      Source URL: wimmerm.bplaced.net

      Language: English - Date: 2013-01-15 16:38:35
        135Covariance and correlation / Machine learning / Multivariate statistics / Algebra of random variables / Covariance / Principal component analysis / Feature learning / Sparse approximation / Correlation and dependence / Pattern recognition

        Learning Sparse Covariance Patterns for Natural Scenes Liwei Wang† † Yin Li‡

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        Source URL: www.cse.cuhk.edu.hk

        Language: English - Date: 2012-04-05 12:16:10
        136Linguistics / Automatic identification and data capture / Humancomputer interaction / Speech recognition / Human communication / Computational linguistics / Computer accessibility / FMLLR / Speech enhancement / Cepstrum / Speech corpus

        FEATURE COMPENSATION EMPLOYING ONLINE GMM ADAPTATION FOR SPEECH RECOGNITION IN UNKNOWN SEVERELY ADVERSE ENVIRONMENTS Wooil Kim and John H. L. Hansen Center for Robust Speech Systems (CRSS), Erik Jonsson School of Enginee

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        Source URL: www.utdallas.edu

        Language: English - Date: 2012-03-28 10:00:39
        137Computational linguistics / Speech recognition / Acoustic model / Artificial neural network / Time series / Speech synthesis / Pattern recognition / Machine learning / Deep learning

        MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1

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        Source URL: www.cstr.ed.ac.uk

        Language: English - Date: 2015-09-29 11:06:25
        138Machine learning / Artificial intelligence / Learning / Markov models / Computer accessibility / Speech recognition / Mixture model / Markov chain

        AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE Wooil Kim1 and John H. L. Hansen2 1 2

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        Source URL: www.utdallas.edu

        Language: English - Date: 2013-05-28 13:45:30
        139

        ARTICULATORY FEATURE-BASED METHODS FOR ACOUSTIC AND AUDIO-VISUAL SPEECH RECOGNITION: SUMMARY FROM THE 2006 JHU SUMMER WORKSHOP ¨ ur C¸etin2 , Mark Hasegawa-Johnson3 , Simon King4 , Chris Bartels5 , Karen Livescu1 , Ozg

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        Source URL: ttic.uchicago.edu

        Language: English - Date: 2008-02-21 07:48:13
          140Feature detection / Scale-invariant feature transform / GLOH / Speeded up robust features / Corner detection / Outline of object recognition / Interest point detection / Feature / X-ray photoelectron spectroscopy / Visual descriptor / RANSAC / JPEG

          BRISK: Binary Robust Invariant Scalable Keypoints Stefan Leutenegger, Margarita Chli and Roland Y. Siegwart Autonomous Systems Lab, ETH Z¨urich {stefan.leutenegger, margarita.chli, and roland.siegwart}@mavt.ethz.ch Abs

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          Source URL: www.margaritachli.com

          Language: English - Date: 2011-07-30 13:32:28
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