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TKDE
2012
270views Formal Methods» more  TKDE 2012»
13 years 2 days ago
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Din...
69
Voted
ICPR
2008
IEEE
15 years 11 months ago
Describing texture directions with Von Mises distributions
In this work we describe a new approach for texture characterization. Starting from the autocorrelation matrix an elegant description through a mixture of Von Mises distributions ...
Costantino Grana, Daniele Borghesani, Rita Cucchia...
ICML
2004
IEEE
15 years 3 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
ICRA
1999
IEEE
186views Robotics» more  ICRA 1999»
15 years 1 months ago
Grasp Analysis as Linear Matrix Inequality Problems
Three fundamental problems in the study of grasping and dextrous manipulation with multifingered robotic hands are as follows. a) Given a robotic hand and a grasp characterized by ...
Li Han, Jeffrey C. Trinkle, Zexiang Li
75
Voted
ECCV
2000
Springer
15 years 2 months ago
On Calibration and Reconstruction from Planar Curves
We describe in this paper closed-form solutions to the following problems in multi-view geometry of n'th order curves: i recovery of the fundamental matrix from 4 or more c...
Jeremy Yermiyahou Kaminski, Amnon Shashua