Semantic feature

Results: 110



#Item
1On the semantic feature structure of modeling concepts: an empirical study Dirk van der Linden∗† ,§ Marc van Zee‡ ,§ ∗  Public Research Centre Henri Tudor, Luxembourg

On the semantic feature structure of modeling concepts: an empirical study Dirk van der Linden∗† ,§ Marc van Zee‡ ,§ ∗ Public Research Centre Henri Tudor, Luxembourg

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Source URL: www.marcvanzee.nl

Language: English - Date: 2015-10-13 11:22:58
    2Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick1 Jeff Donahue1,2 Trevor Darrell1,2 1 UC Berkeley and 2 ICSI

    Rich feature hierarchies for accurate object detection and semantic segmentation Ross Girshick1 Jeff Donahue1,2 Trevor Darrell1,2 1 UC Berkeley and 2 ICSI

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    Source URL: www.cv-foundation.org

    - Date: 2014-05-18 15:55:03
      3COMBINING FEATURE KERNELS FOR SEMANTIC MUSIC RETRIEVAL Luke Barrington Mehrdad Yazdani Douglas Turnbull∗ Gert Lanckriet ∗ Electrical & Computer Engineering,

      COMBINING FEATURE KERNELS FOR SEMANTIC MUSIC RETRIEVAL Luke Barrington Mehrdad Yazdani Douglas Turnbull∗ Gert Lanckriet ∗ Electrical & Computer Engineering,

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      Source URL: eceweb.ucsd.edu

      - Date: 2015-07-31 19:00:24
        4POIsketch: Semantic Place Labeling over User Activity Streams 1 Dingqi Yang1 , Bin Li2 , Philippe Cudr´e-Mauroux1 eXascale Infolab, University of Fribourg, 1700 Fribourg, Switzerland 2

        POIsketch: Semantic Place Labeling over User Activity Streams 1 Dingqi Yang1 , Bin Li2 , Philippe Cudr´e-Mauroux1 eXascale Infolab, University of Fribourg, 1700 Fribourg, Switzerland 2

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        Source URL: exascale.info

        Language: English - Date: 2016-08-17 10:09:29
        5IDENTIFYING WORDS THAT ARE MUSICALLY MEANINGFUL David Torres1 , Douglas Turnbull1 , Luke Barrington2 Gert Lanckriet2 Dept. of Computer Science and Engineering1 Dept. of Electrical and Computer Engineering2 University of

        IDENTIFYING WORDS THAT ARE MUSICALLY MEANINGFUL David Torres1 , Douglas Turnbull1 , Luke Barrington2 Gert Lanckriet2 Dept. of Computer Science and Engineering1 Dept. of Electrical and Computer Engineering2 University of

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        Source URL: eceweb.ucsd.edu

        Language: English - Date: 2015-07-31 19:00:25
        6Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes

        Combining Semantic and Geometric Features for Object Class Segmentation of Indoor Scenes

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        Source URL: www.ais.uni-bonn.de

        Language: English - Date: 2016-02-12 15:09:15
        7GFVO: the Genomic Feature and Variation Ontology Joachim Baran1 , Bibi Sehnaaz Begum Durgahee2 , Karen Eilbeck2 , Erick Antezana3 , Robert Hoehndorf4 and Michel Dumontier1 1 Stanford Center for Biomedical Informatics Res

        GFVO: the Genomic Feature and Variation Ontology Joachim Baran1 , Bibi Sehnaaz Begum Durgahee2 , Karen Eilbeck2 , Erick Antezana3 , Robert Hoehndorf4 and Michel Dumontier1 1 Stanford Center for Biomedical Informatics Res

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        Source URL: peerj.com

        Language: English - Date: 2015-05-06 09:44:18
        8Semantic and geometric enrichment of 3D geo-spatial building models with photo captions and illustration labels using template matching & SIFT Jon Slade*, Christopher B. Jones† and Paul L. Rosin‡ School of Computer S

        Semantic and geometric enrichment of 3D geo-spatial building models with photo captions and illustration labels using template matching & SIFT Jon Slade*, Christopher B. Jones† and Paul L. Rosin‡ School of Computer S

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        Source URL: users.cs.cf.ac.uk

        Language: English - Date: 2016-03-26 10:21:38
        9Lexical typology through similarity semantics: Toward a semantic map of motion verbs* 1 2 3

        Lexical typology through similarity semantics: Toward a semantic map of motion verbs* 1 2 3

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        Source URL: cysouw.de

        Language: English - Date: 2014-01-15 15:16:28
        10SVD Feature Selection for Probabilistic Taxonomy Learning Fallucchi Francesca Disp, University “Tor Vergata” Rome, Italy

        SVD Feature Selection for Probabilistic Taxonomy Learning Fallucchi Francesca Disp, University “Tor Vergata” Rome, Italy

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        Source URL: art.uniroma2.it

        Language: English - Date: 2013-05-28 06:48:51