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» Enabling scalable spectral clustering for image segmentation
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CVPR
2006
IEEE
14 years 10 months ago
Unsupervised Discovery of Action Classes
In this paper we consider the problem of describing the action being performed by human figures in still images. We will attack this problem using an unsupervised learning approac...
Greg Mori, Hao Jiang, Mark S. Drew, Yang Wang 0003...
PAMI
1998
88views more  PAMI 1998»
13 years 8 months ago
Large-Scale Parallel Data Clustering
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
Dan Judd, Philip K. McKinley, Anil K. Jain
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
ICCV
2003
IEEE
14 years 10 months ago
Graph Partition by Swendsen-Wang Cuts
Vision tasks, such as segmentation, grouping, recognition, can be formulated as graph partition problems. The recent literature witnessed two popular graph cut algorithms: the Ncu...
Adrian Barbu, Song Chun Zhu
JPDC
2006
185views more  JPDC 2006»
13 years 8 months ago
Commodity cluster-based parallel processing of hyperspectral imagery
The rapid development of space and computer technologies has made possible to store a large amount of remotely sensed image data, collected from heterogeneous sources. In particul...
Antonio Plaza, David Valencia, Javier Plaza, Pablo...