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» Noise Robust Spectral Clustering
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CVPR
2008
IEEE
14 years 9 months ago
Nonlinear image representation using divisive normalization
In this paper, we describe a nonlinear image representation based on divisive normalization that is designed to match the statistical properties of photographic images, as well as...
Siwei Lyu, Eero P. Simoncelli
ECCV
1998
Springer
14 years 9 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman
JUCS
2010
265views more  JUCS 2010»
13 years 5 months ago
A General Framework for Multi-Human Tracking using Kalman Filter and Fast Mean Shift Algorithms
: The task of reliable detection and tracking of multiple objects becomes highly complex for crowded scenarios. In this paper, a robust framework is presented for multi-Human track...
Ahmed Ali, Kenji Terada
CVPR
2012
IEEE
11 years 9 months ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee
ML
2010
ACM
193views Machine Learning» more  ML 2010»
13 years 2 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...