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» Histogram Clustering for Unsupervised Image Segmentation
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ISVC
2010
Springer
14 years 11 months ago
Mitosis Extraction in Breast-Cancer Histopathological Whole Slide Images
Abstract. In this paper, we present a graph-based multi-resolution approach for mitosis extraction in breast cancer histological whole slide images. The proposed segmentation uses ...
Vincent Roullier, Olivier Lezoray, Vinh-Thong Ta, ...
ICCV
2007
IEEE
16 years 3 months ago
Non-metric affinity propagation for unsupervised image categorization
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step in supervised methods for classification, trackin...
Delbert Dueck, Brendan J. Frey
PAMI
1998
88views more  PAMI 1998»
15 years 24 days 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
ECCV
2008
Springer
16 years 3 months ago
Unsupervised Structure Learning: Hierarchical Recursive Composition, Suspicious Coincidence and Competitive Exclusion
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...
Long Zhu, Chenxi Lin, Haoda Huang, Yuanhao Chen, A...
ICIAR
2010
Springer
14 years 10 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...