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Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues.

, , and . IEEE Trans. Pattern Anal. Mach. Intell., 26 (5): 530-549 (2004)

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Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches., , and . CVPR (2), page 54-64. IEEE Computer Society, (2003)Intelligent RAM (IRAM): The Industrial Setting, Applications and Architectures., , , , , , , , , and 3 other author(s). ICCD, page 2-7. IEEE Computer Society, (1997)Block Gauss and Anti-Gauss Quadrature with Application to Networks., , , and . SIAM J. Matrix Anal. Appl., 34 (4): 1655-1684 (2013)Global pose estimation using non-tree models., and . CVPR, IEEE Computer Society, (2008)Exploiting On-Chip Memory Bandwidth in the VIRAM Compiler., , , , and . Intelligent Memory Systems, volume 2107 of Lecture Notes in Computer Science, page 122-134. Springer, (2000)Finding Actions Using Shape Flows., and . ECCV (2), volume 5303 of Lecture Notes in Computer Science, page 278-292. Springer, (2008)A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics., , , and . ICCV, page 416-425. IEEE Computer Society, (2001)Learning to Detect Natural Image Boundaries Using Brightness and Texture., , and . NIPS, page 1255-1262. MIT Press, (2002)Linear Scale and Rotation Invariant Matching., , and . IEEE Trans. Pattern Anal. Mach. Intell., 33 (7): 1339-1355 (2011)Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues., , and . IEEE Trans. Pattern Anal. Mach. Intell., 26 (5): 530-549 (2004)