Clustering

Results: 2940



#Item
201

Discovering Social and Aesthetic Categories of Avatars: A Bottom-Up Artificial Intelligence Approach Using Image Clustering Chong-U Lim1 , Antonios Liapis2 , and D. Fox Harrell3 1

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Source URL: antoniosliapis.com

- Date: 2016-05-14 03:58:47
    202

    1 Continuous Clustering of Moving Objects Christian S. Jensen, Dan Lin, Beng Chin Ooi Abstract— This paper considers the problem of efficiently

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    Source URL: www.comp.nus.edu.sg

    - Date: 2007-05-08 00:40:40
      203

      Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation Akash Srivastava James Zou

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      Source URL: poloclub.gatech.edu

      - Date: 2016-07-22 15:05:22
        204

        Tell Me What Do You See: Detecting Perceptually-Separable Visual Patterns via Clustering of Image-Space Features in Visualizations ´ 2 , Jason Leigh2 , Michael E. Papka1,3 Khairi Reda1,2∗, Alberto Gonzalez 1 Argonne

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        Source URL: vis.ninja

        - Date: 2015-08-22 17:57:14
          205

          Hyperspaces for Object Clustering and Approximate Matching in Peer-to-Peer Overlays ´ Bernard Wong Ymir Vigf´usson Emin G¨un Sirer Dept. of Computer Science, Cornell University, Ithaca, NY 14853

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          Source URL: cs.uwaterloo.ca

          - Date: 2007-05-07 12:32:34
            206

            Multiple Clustered Instance Learning for Histopathology Cancer Image Classification, Segmentation and Clustering Yan Xu∗1,2 , Jun-Yan Zhu∗2,3 , Eric Chang2 and Zhuowen Tu2,4 State Key Laboratory of Software Developme

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            Source URL: pages.ucsd.edu

            - Date: 2014-09-19 15:50:33
              207

              Spectral clustering is a well-known way to partition a graph or network into clusters or communities with provable guarantees on the quality of the clusters. This guarantee is known as the Cheeger inequality and it holds

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              Source URL: mmds-data.org

              - Date: 2016-06-23 15:50:48
                208

                258 Genome Informatics 13: 258–Hybrid Clustering Method for DNA Microarray Data Analysis

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                Source URL: www.jsbi.org

                - Date: 2002-12-19 23:03:31
                  209

                  Genome Informatics 12: 249–A Clustering Method for Discovering Patterns Using Gene Regulatory Processes

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                  Source URL: www.jsbi.org

                  - Date: 2002-01-17 03:51:05
                    210

                    Computing an Aggregate Edge-Weight Function for Clustering Graphs with Multiple Edge Types? Matthew Rocklin1 and Ali Pinar2 1 Department of Computer Science, University of Chicago

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                    Source URL: www.sandia.gov

                    - Date: 2011-01-04 15:53:16
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