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» Discrete optimization in computer vision
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CVPR
2009
IEEE
16 years 11 months ago
A Min-Max Framework of Cascaded Classifier with Multiple Instance Learning for Computer Aided Diagnosis
The computer aided diagnosis (CAD) problems of detecting potentially diseased structures from medical images are typically distinguished by the following challenging characterist...
Dijia Wu (Rensselaer Polytechnic Institute), Jinbo...
CVPR
2005
IEEE
16 years 5 months ago
Analytically Solving Radial Distortion Parameters
Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization...
Simone Graf, Tobias Hanning
ICCV
2005
IEEE
16 years 5 months ago
A Symmetric Patch-Based Correspondence Model for Occlusion Handling
Occlusion is one of the challenging problems in stereo. In this paper, we solve the problem in a segment-based style. Both images are segmented, and we propose a novel patchbased ...
Yi Deng, Qiong Yang, Xueyin Lin, Xiaoou Tang
ICPR
2008
IEEE
16 years 5 months ago
Time-series clustering by approximate prototypes
Clustering time-series data poses problems, which do not exist in traditional clustering in Euclidean space. Specifically, cluster prototype needs to be calculated, where common s...
Pasi Fränti, Pekka Nykänen, Ville Hautam...
ICPR
2006
IEEE
16 years 4 months ago
Initialization Techniques for Segmentation with the Chan-Vese Model
This paper introduces an effective initialization approach for segmentation using the Chan-Vese model. The initial curve is found by searching among the extremals of the fidelity ...
Jan Erik Solem, Niels Chr. Overgaard, Anders Heyde...