Segmentation

Results: 4370



#Item
51JOIN OUR NEW CHEMSECTORS NETWORKS Did you know the specialty chemicals industry has 30 market segments? As part of SOCMA’s industry segmentation model, we offer our members access to information and industry intelligen

JOIN OUR NEW CHEMSECTORS NETWORKS Did you know the specialty chemicals industry has 30 market segments? As part of SOCMA’s industry segmentation model, we offer our members access to information and industry intelligen

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Source URL: www.socma.com

Language: English - Date: 2018-04-02 10:56:20
    52Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade Xiaoxiao Li1 1 2

    Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade Xiaoxiao Li1 1 2

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    Source URL: personal.ie.cuhk.edu.hk

    Language: English - Date: 2017-03-31 03:00:33
      53Market Segmentation Analysis The Powerlytics Business data contains the full financial statements (e.g. income statements, balance sheets and financial ratios) from all 27M for profit businesses that file tax returns in

      Market Segmentation Analysis The Powerlytics Business data contains the full financial statements (e.g. income statements, balance sheets and financial ratios) from all 27M for profit businesses that file tax returns in

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      Source URL: www.powerlytics.com

      Language: English - Date: 2016-05-27 15:18:04
        54Nearest Neighbor 3D Segmentation with Context Features Evelin Hristovaα, β , Heinrich Schulzβ , Tom Broschβ , Mattias P. Heinrichγ , Hannes Nickischβ α Hamburg University of Applied Sciences, Hamburg, Germany; β

        Nearest Neighbor 3D Segmentation with Context Features Evelin Hristovaα, β , Heinrich Schulzβ , Tom Broschβ , Mattias P. Heinrichγ , Hannes Nickischβ α Hamburg University of Applied Sciences, Hamburg, Germany; β

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        Source URL: hannes.nickisch.org

        Language: English - Date: 2018-01-13 08:42:52
          55Dynamic Texture Segmentation Gianfranco Doretto† † Daniel Cremers†

          Dynamic Texture Segmentation Gianfranco Doretto† † Daniel Cremers†

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          Source URL: lear.inrialpes.fr

          Language: English - Date: 2003-08-20 05:34:54
            56Joint Phoneme Segmentation Inference and Classification using CRFs Dimitri Palaz∗† , Mathew Magimai-Doss∗ and Ronan Collobert∗ † Ecole ∗ Idiap

            Joint Phoneme Segmentation Inference and Classification using CRFs Dimitri Palaz∗† , Mathew Magimai-Doss∗ and Ronan Collobert∗ † Ecole ∗ Idiap

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            Source URL: ronan.collobert.com

            Language: English - Date: 2014-11-03 05:56:58
              57Volumetric Multimodality Neural Network For Ischemic Stroke Segmentation Laura Silvana Castillo ? , Laura Alexandra Daza? , Luis Carlos Rivera? and Pablo Arbel´aez Universidad de los Andes, Bogot´ a Colombia

              Volumetric Multimodality Neural Network For Ischemic Stroke Segmentation Laura Silvana Castillo ? , Laura Alexandra Daza? , Luis Carlos Rivera? and Pablo Arbel´aez Universidad de los Andes, Bogot´ a Colombia

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              Source URL: www.isles-challenge.org

              Language: English - Date: 2017-11-24 09:56:12
                58Satellite Image Semantic Segmentation Using Fully Convolutional Network Atsushi Yoshihara, Tristan Hascoet Tetsuya Takiguchi, Yasuo Ariki

                Satellite Image Semantic Segmentation Using Fully Convolutional Network Atsushi Yoshihara, Tristan Hascoet Tetsuya Takiguchi, Yasuo Ariki

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                Source URL: www.me.cs.scitec.kobe-u.ac.jp

                Language: English - Date: 2018-01-31 01:28:02
                  59en37 Original Article Computer Aided Segmentation and Classification of Mass in Mammographic Images using ANFIS

                  en37 Original Article Computer Aided Segmentation and Classification of Mass in Mammographic Images using ANFIS

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                  Source URL: www.ejbi.org

                  Language: English - Date: 2017-06-28 11:47:49
                    60Supplementary Material — The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation Pia Bideau Aruni RoyChowdhury Rakesh R Menon

                    Supplementary Material — The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation Pia Bideau Aruni RoyChowdhury Rakesh R Menon

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                    Source URL: vis-www.cs.umass.edu

                    Language: English - Date: 2018-03-28 16:02:11