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INFOCOM
2002
IEEE
15 years 12 months ago
Increasing robustness of fault localization through analysis of lost, spurious, and positive symptoms
—This paper utilizes belief networks to implement fault localization in communication systems taking into account comprehensive information about the system behavior. Most previo...
Malgorzata Steinder, Adarshpal S. Sethi
NOMS
2002
IEEE
130views Communications» more  NOMS 2002»
15 years 12 months ago
End-to-end service failure diagnosis using belief networks
We present fault localization techniques suitable for diagnosing end-to-end service problems in communication systems with complex topologies. We refine a layered system model th...
Malgorzata Steinder, Adarshpal S. Sethi
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
15 years 11 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
COCO
2001
Springer
149views Algorithms» more  COCO 2001»
15 years 11 months ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler
ICC
2000
IEEE
15 years 11 months ago
Reduced-State BCJR-Type Algorithms
—In this paper, we propose a technique to reduce the number of trellis states in BCJR-type algorithms, i.e., algorithms with a structure similar to that of the well-known algorit...
Giulio Colavolpe, Gian Luigi Ferrari, Riccardo Rah...