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SIAMIS
2011
15 years 1 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
SIAMJO
2011
15 years 1 months ago
Recovering Low-Rank and Sparse Components of Matrices from Incomplete and Noisy Observations
Many applications arising in a variety of fields can be well illustrated by the task of recovering the low-rank and sparse components of a given matrix. Recently, it is discovered...
Min Tao, Xiaoming Yuan
SIGOPS
2011
210views Hardware» more  SIGOPS 2011»
15 years 1 months ago
Small trusted primitives for dependable systems
Secure, fault-tolerant distributed systems are difficult to build, to validate, and to operate. Conservative design for such systems dictates that their security and fault toleran...
Petros Maniatis, Byung-Gon Chun
SIGOPS
2011
255views Hardware» more  SIGOPS 2011»
15 years 1 months ago
Bridging functional heterogeneity in multicore architectures
Heterogeneous processors that mix big high performance cores with small low power cores promise excellent single– threaded performance coupled with high multi–threaded through...
Dheeraj Reddy, David A. Koufaty, Paul Brett, Scott...
SIGOPS
2011
215views Hardware» more  SIGOPS 2011»
15 years 1 months ago
Log-based architectures: using multicore to help software behave correctly
While application performance and power-efficiency are both important, application correctness is even more important. In other words, if the application is misbehaving, it is li...
Shimin Chen, Phillip B. Gibbons, Michael Kozuch, T...
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