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The top documents tagged [normalized cuts]
Are Categories Necessary in a Data-Rich World? Alexei (Alyosha) Efros CMU Joint work with Tomasz Malisiewicz
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1 Recognition by Association: ask not “What is it?” ask “What is it like?” Tomasz Malisiewicz and Alyosha Efros CMU CVPR’08
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Image segmentation by modified map ml estimations
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Breast Lesion Segmentation in Ultrasound Images
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Inference Network Approach to Image Retrieval Don Metzler R. Manmatha Center for Intelligent Information Retrieval University of Massachusetts, Amherst
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Self-Validated Labeling of MRFs for Image Segmentation Wei Feng 1,2, Jiaya Jia 2 and Zhi-Qiang Liu 1 1. School of Creative Media, City University of Hong
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Graph Clustering. Why graph clustering is useful? Distance matrices are graphs as useful as any other clustering Identification of communities in social
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Unsupervised Learning of Categorical Segments in Image Collections *California Institute of Technology **Technion Marco Andreetto*, Lihi Zelnik-Manor**,
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Normalized Cuts and Image Segmentation Jianbo Shi and Jitendra Malik, Presented by: Alireza Tavakkoli
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1 Vision Topics Seminar Mean Shift Egorov Svetlana Based on: D. Comaniciu, P. Meer: Mean Shift Analysis and Applications, IEEE Int. Conf. Computer Vision
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Efficient Spatiotemporal Grouping Using the Nyström Method Charless Fowlkes, U.C. Berkeley Serge Belongie, U.C. San Diego Jitendra Malik, U.C. Berkeley
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Lecture#6: segmentation Anat Levin Introduction to Computer Vision Class Fall 2009 Department of Computer Science and App math, Weizmann Institute of Science
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