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» Recovery of (Non)Monotonic Theories
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FTTCS
2006
106views more  FTTCS 2006»
13 years 7 months ago
Algorithmic Results in List Decoding
Error-correcting codes are used to cope with the corruption of data by noise during communication or storage. A code uses an encoding procedure that judiciously introduces redunda...
Venkatesan Guruswami
WDAG
2010
Springer
230views Algorithms» more  WDAG 2010»
13 years 5 months ago
Implementing Fault-Tolerant Services Using State Machines: Beyond Replication
Abstract—This paper describes a method to implement faulttolerant services in distributed systems based on the idea of fused state machines. The theory of fused state machines us...
Vijay K. Garg
ECCV
2008
Springer
14 years 9 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
CVPR
2006
IEEE
14 years 9 months ago
Efficient Optimal Kernel Placement for Reliable Visual Tracking
This paper describes a novel approach to optimal kernel placement in kernel-based tracking. If kernels are placed at arbitrary places, kernel-based methods are likely to be trappe...
Zhimin Fan, Ming Yang, Ying Wu, Gang Hua, Ting Yu
ICIP
2008
IEEE
14 years 9 months ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand