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ICML
2010
IEEE
15 years 24 days ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
ICPR
2004
IEEE
16 years 25 days ago
Object Recognition Using Segmentation for Feature Detection
: A new method is presented to learn object categories from unlabeled and unsegmented images for generic object recognition. We assume that each object can be characterized by a se...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
ICIP
2005
IEEE
15 years 5 months ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran
CPAIOR
2004
Springer
15 years 5 months ago
Scheduling Abstractions for Local Search
ng Abstractions for Local Search Pascal Van Hentenryck1 and Laurent Michel2 1 Brown University, Box 1910, Providence, RI 02912 2 University of Connecticut, Storrs, CT 06269-3155 Ab...
Pascal Van Hentenryck, Laurent Michel
CVPR
2007
IEEE
16 years 1 months ago
Implicit Active Contours Driven by Local Binary Fitting Energy
In this paper, we propose a novel region-based active contour model for image segmentation with a variational level set formulation. By introducing a local binary fitting energy, ...
Chunming Li, Chiu-Yen Kao, John C. Gore, Zhaohua D...