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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
SOSP
2001
ACM
16 years 3 months ago
BASE: Using Abstraction to Improve Fault Tolerance
ing Abstraction to Improve Fault Tolerance MIGUEL CASTRO Microsoft Research and RODRIGO RODRIGUES and BARBARA LISKOV MIT Laboratory for Computer Science Software errors are a major...
Rodrigo Rodrigues, Miguel Castro, Barbara Liskov
RTSS
2006
IEEE
16 years 12 days ago
Process-Aware Interrupt Scheduling and Accounting
In most operating systems, the handling of interrupts is typically performed within the address space of the kernel. Moreover, interrupt handlers are invoked asynchronously during...
Yuting Zhang, Richard West
SIGUCCS
2005
ACM
15 years 12 months ago
Developing a synchronous web seminar application for online learning
Many higher education institutions are searching for cost effective tools for the delivery of a feature rich, synchronous online learning environment. While there are several comm...
Michael D. Ciocco, Neil Toporski, Michael Dorris
DAWAK
2006
Springer
15 years 10 months ago
A Versioning Management Model for Ontology-Based Data Warehouses
More and more integration systems use ontologies to solve the problem of semantic heterogeneities between autonomous databases. To automate the integration process, a number of the...
Dung Nguyen Xuan, Ladjel Bellatreche, Guy Pierra