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- Representation and Measure of Structural Information Hiroshi Ishikawa
- IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 10, pp. 10751088, October 2001. GLOBALLY OPTIMAL REGIONS AND BOUNDARIES
- In the Eighth IEEE International Conference on Computer Vision, July 912, 2001, Vancouver, Canada. Region Extraction from Multiple Images
- In the 7th IEEE International Conference on Computer Vision, September 2027, 1999, Kerkyra, Greece. Globally Optimal Regions and Boundaries
- Multi-scale Feature Selection in Stereo Hiroshi Ishikawa
- Ishikawa & Geiger Mapping Image Restoration to a Graph Problem Hiroshi Ishikawa & Davi Geiger
- In the Fifth European Conference on Computer Vision (ECCV '98), 2-6 June 1998, Freiburg, Germany Occlusions, Discontinuities, and Epipolar Lines in Stereo ?
- (MIRU2010) 2010 7 Flipping Variables to Extend Higher-Order Graph Cuts
- Greig, Porteous and Seheult '89 0101010101010101010101010101010101...
- (MIRU2007) 2007 7 30-8 1 , . pp. 726-731. E-mail: hi@nsc.nagoya-cu.ac.jp
- 10TH IEEE INTERNATIONAL CONFERERNCE ON COMPUTER VISION (ICCV 2005), OCTOBER 1720, 2005, BEIJING, CHINA. Finding Tree Structures by Grouping Symmetries
- Technical Report on Information-Based Induction Sciences 2009 (IBIS2009)
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- The Twelfth IEEE International Conference on Computer Vision, Kyoto, Japan. September 27 -October 4, 2009. Higher-Order Gradient Descent by Fusion-Move Graph Cut
- Representation and Measure of Structural Information Hiroshi Ishikawa
- CVPR2009: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Miami Beach, Florida. June 20-25, 2009. Higher-Order Clique Reduction in Binary Graph Cut
- 2007 3 CVIM 2007-CVIM-158-(26) pp. 193-204. E-mail: hi@nsc.nagoya-cu.ac.jp
- In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 1998, Santa Barbara, CA. Segmentation by Grouping Junctions ?
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, VOL. 25, NO. 10, PP. 1333-1336. OCTOBER 2003. Exact optimization for Markov random fields with convex priors
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