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JMLR
2010
367views more  JMLR 2010»
13 years 4 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
CVPR
2012
IEEE
11 years 11 months ago
Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video
It has recently been shown that only a small number of samples from a low-rank matrix are necessary to reconstruct the entire matrix. We bring this to bear on computer vision prob...
Jun He, Laura Balzano, Arthur Szlam
UC
2009
Springer
14 years 3 months ago
On the Brightness of the Thomson Lamp: A Prolegomenon to Quantum Recursion Theory
Some physical aspects related to the limit operations of the Thomson lamp are discussed. Regardless of the formally unbounded and even infinite number of “steps” involved, the...
Karl Svozil
ICRA
2010
IEEE
159views Robotics» more  ICRA 2010»
13 years 7 months ago
Navigation and control of the Nereus hybrid underwater vehicle for global ocean science to 10, 903 m depth: Preliminary results
— This paper reports an overview of the navigation and control system design for the new Nereus hybrid underwater robotic vehicle (HROV). Vehicle performance during its first se...
Louis L. Whitcomb, Michael V. Jakuba, James C. Kin...
ISDA
2008
IEEE
14 years 3 months ago
Combining Clustering and Bayesian Network for Gene Network Inference
Gene network reconstruction is a multidisciplinary research area involving data mining, machine learning, statistics, ontologies and others. Reconstructed gene network allows us t...
Suhaila Zainudin, Safaai Deris