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ICASSP
2010
IEEE
14 years 11 months ago
Bayesian compressive sensing for phonetic classification
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
Tara N. Sainath, Avishy Carmi, Dimitri Kanevsky, B...
85
Voted
ICRA
2010
IEEE
145views Robotics» more  ICRA 2010»
14 years 11 months ago
A general Gaussian-mixture approach for range-only mapping using multiple hypotheses
— Radio signal-based localization and mapping is becoming more interesting as applications involving the collaboration between robots and static wireless devices are more common....
Fernando Caballero, Luis Merino, Aníbal Oll...
183
Voted
LATINCRYPT
2010
14 years 11 months ago
How Leaky Is an Extractor?
This paper discusses the security of a leakage-resilient stream cipher presented at FOCS 2008, instantiated in a practical setting. Based on a case study, we put forward implementa...
François-Xavier Standaert
98
Voted
NECO
2010
97views more  NECO 2010»
14 years 11 months ago
Rademacher Chaos Complexities for Learning the Kernel Problem
In this paper we develop a novel generalization bound for learning the kernel problem. First, we show that the generalization analysis of the kernel learning problem reduces to in...
Yiming Ying, Colin Campbell
107
Voted
NOMS
2010
IEEE
177views Communications» more  NOMS 2010»
14 years 11 months ago
An effective similarity metric for application traffic classification
—Application level traffic classification is one of the major issues in network monitoring and traffic engineering. In our previous study, we proposed a new traffic classificatio...
Jae Yoon Chung, Byungchul Park, Young J. Won, John...