Domain adaptation

Results: 105



#Item
11Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos Kihyuk Sohn1 Sifei Liu2 Guangyu Zhong3 Xiang Yu1 Ming-Hsuan Yang2 Manmohan Chandraker1,4 1 NEC Labs America 2 UC Merced 3 Dalian University of Techn

Unsupervised Domain Adaptation for Face Recognition in Unlabeled Videos Kihyuk Sohn1 Sifei Liu2 Guangyu Zhong3 Xiang Yu1 Ming-Hsuan Yang2 Manmohan Chandraker1,4 1 NEC Labs America 2 UC Merced 3 Dalian University of Techn

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Source URL: www.nec-labs.com

- Date: 2017-08-06 11:55:12
    12Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach Alessandro Bergamo Lorenzo Torresani Computer Science Department

    Exploiting weakly-labeled Web images to improve object classification: a domain adaptation approach Alessandro Bergamo Lorenzo Torresani Computer Science Department

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    Source URL: vlg.cs.dartmouth.edu

    - Date: 2011-01-11 10:25:21
      13Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach Xavier Glorot(1)  Antoine Bordes(2,1)

      Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach Xavier Glorot(1) Antoine Bordes(2,1)

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      Source URL: machinelearning.wustl.edu

      - Date: 2013-03-25 14:53:10
        14Combining Domain and Topic Adaptation for SMT Eva Hasler1 Barry Haddow1 Philipp Koehn1,2 1 2

        Combining Domain and Topic Adaptation for SMT Eva Hasler1 Barry Haddow1 Philipp Koehn1,2 1 2

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        Source URL: www.mt-archive.info

        - Date: 2015-02-05 05:25:40
          15Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction Barbara Plank∗ Center for Language Technology University of Copenhagen, Denmark

          Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction Barbara Plank∗ Center for Language Technology University of Copenhagen, Denmark

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          Source URL: aclweb.org

          - Date: 2013-07-25 09:24:48
            16Importance weighting and unsupervised domain adaptation of POS taggers: a negative result Barbara Plank, Anders Johannsen and Anders Søgaard
 Center for Language Technology
 University of Copenhagen, Denmark	 
 bpla

            Importance weighting and unsupervised domain adaptation of POS taggers: a negative result Barbara Plank, Anders Johannsen and Anders Søgaard
 Center for Language Technology
 University of Copenhagen, Denmark bpla

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            Source URL: emnlp2014.org

            - Date: 2014-10-29 22:15:16
              17MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com A Grassmann Manifold-based Domain Adaptation Approach

              MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com A Grassmann Manifold-based Domain Adaptation Approach

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              Source URL: www.merl.com

              - Date: 2012-12-26 11:27:23
                18Importance weighting and unsupervised domain adaptation of POS taggers: a negative result Barbara Plank, Anders Johannsen and Anders Søgaard Center for Language Technology University of Copenhagen, Denmark Njalsgade 140

                Importance weighting and unsupervised domain adaptation of POS taggers: a negative result Barbara Plank, Anders Johannsen and Anders Søgaard Center for Language Technology University of Copenhagen, Denmark Njalsgade 140

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                Source URL: emnlp2014.org

                - Date: 2014-10-16 05:20:46
                  19Domain Adaptation with Artificial Data for Semantic Parsing of Speech Lonneke van der Plas James Henderson Paola Merlo Department of Linguistics Department of Computer Science Department of Linguistics University of Gene

                  Domain Adaptation with Artificial Data for Semantic Parsing of Speech Lonneke van der Plas James Henderson Paola Merlo Department of Linguistics Department of Computer Science Department of Linguistics University of Gene

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                  Source URL: aclweb.org

                  - Date: 2010-06-14 21:17:13
                    20D3.2 – Report on the Multi-Domain and Cross-Media Parsing Model Adaptation Document Number D3.2

                    D3.2 – Report on the Multi-Domain and Cross-Media Parsing Model Adaptation Document Number D3.2

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                    Source URL: www.sensei-conversation.eu

                    - Date: 2016-02-08 03:10:50