Results 221 to 230 of about 556,109 (269)
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Segment-Forest for Segmentation
2014 22nd International Conference on Pattern Recognition, 2014In this paper, we present a novel generalized Segment-Forest Model (SFM) to segment an object as well as label all the object's semantic parts simultaneously. Segment-Forest is composed by various generated segment trees that act directly on super pixels.
Haoqi Fan 0003, Han Li
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Page segmentation by segment tracing
Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93), 2002A page segmentation method that allows one to cut a document page image into polygonal blocks as well as into classical rectangular blocks is described. The intercolumn and interparagraph gaps are extracted as horizontal and vertical lines. The points of intersection between these lines are treated as vertices of polygonal blocks. With the aid of the 4-
O. T. Akindele, Abdel Belaïd
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Neurosurgery, 1987
Abstract Of the various forms of neurofibromatosis, the best known are peripheral neurofibromatosis (von Recklinghausen's disease) and central neurofibromatosis. There is a rare form called segmental neurofibromatosis, in which the cutaneous and neural changes are limited to one sector of the body and with which there is usually no ...
C E, Rawlings +3 more
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Abstract Of the various forms of neurofibromatosis, the best known are peripheral neurofibromatosis (von Recklinghausen's disease) and central neurofibromatosis. There is a rare form called segmental neurofibromatosis, in which the cutaneous and neural changes are limited to one sector of the body and with which there is usually no ...
C E, Rawlings +3 more
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Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2002
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Anthony J. Yezzi, Stefano Soatto
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Anthony J. Yezzi, Stefano Soatto
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Journal of the ACM, 1998
We study a novel genre of optimization problems, which we call segmentation problems , motivated in part by certain aspects of clustering and data mining. For any classical optimization problem, the corresponding segmentation problem seeks to partition a set of cost vectors into several segments
Jon M. Kleinberg +2 more
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We study a novel genre of optimization problems, which we call segmentation problems , motivated in part by certain aspects of clustering and data mining. For any classical optimization problem, the corresponding segmentation problem seeks to partition a set of cost vectors into several segments
Jon M. Kleinberg +2 more
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