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COLT
2010
Springer
15 years 4 months ago
Toward Learning Gaussian Mixtures with Arbitrary Separation
In recent years analysis of complexity of learning Gaussian mixture models from sampled data has received significant attention in computational machine learning and theory commun...
Mikhail Belkin, Kaushik Sinha
HASE
1999
IEEE
15 years 11 months ago
Automatic Dependability Analysis for Supporting Design Decisions in UML
Even though a thorough system specification improves the quality of the design , it is not sufficient to guarantee that a system will satisfy its reliability targets. Within this ...
Andrea Bondavalli, Ivan Mura, István Majzik
OSDI
2008
ACM
16 years 7 months ago
Greening the Switch
Active research is being conducted in reducing power consumption of all the components of the Internet. To that end, we propose schemes for power reduction in network switches - T...
Ganesh Ananthanarayanan, Randy H. Katz
DSN
2004
IEEE
15 years 10 months ago
On Failure Dependent Protection in Optical Grooming Networks
Resiliency to link failures in optical networks is becoming increasingly important due to the increasing data rate in the fiber. Path protection schemes attempt to guarantee a bac...
Srinivasan Ramasubramanian
TIT
2008
102views more  TIT 2008»
15 years 6 months ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo