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TIT
2010
174views Education» more  TIT 2010»
14 years 4 months ago
Toeplitz Compressed Sensing Matrices With Applications to Sparse Channel Estimation
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
Jarvis Haupt, Waheed Uz Zaman Bajwa, Gil M. Raz, R...
OSN
2011
14 years 19 days ago
A parallel iterative scheduler for asynchronous Optical Packet Switching networks
—This paper presents PI-OPS (Parallel-Iterative Optical Packet Scheduler) a parallel-iterative scheduler for asynchronous Optical Packet Switching nodes with optical buffering. O...
Pablo Pavón-Mariño, M. Victoria Buen...
PLDI
2012
ACM
13 years 7 days ago
RockSalt: better, faster, stronger SFI for the x86
Software-based fault isolation (SFI), as used in Google’s Native Client (NaCl), relies upon a conceptually simple machine-code analysis to enforce a security policy. But for com...
Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-...
COLT
1993
Springer
15 years 1 months ago
Parameterized Learning Complexity
We describe three applications in computational learning theory of techniques and ideas recently introduced in the study of parameterized computational complexity. (1) Using param...
Rodney G. Downey, Patricia A. Evans, Michael R. Fe...
BMCBI
2010
171views more  BMCBI 2010»
14 years 10 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...