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TR
2010
204views Hardware» more  TR 2010»
14 years 4 months ago
Anomaly Detection Through a Bayesian Support Vector Machine
This paper investigates the use of a one-class support vector machine algorithm to detect the onset of system anomalies, and trend output classification probabilities, as a way to ...
Vasilis A. Sotiris, Peter W. Tse, Michael Pecht
WIA
2001
Springer
15 years 1 months ago
Cascade Decompositions are Bit-Vector Algorithms
A vector algorithm is an algorithm that applies a bounded number of vector operations to an input vector, regardless of the length of the input. In this paper, we describe the link...
Anne Bergeron, Sylvie Hamel
IACR
2011
206views more  IACR 2011»
13 years 9 months ago
Shortest Lattice Vectors in the Presence of Gaps
Given a lattice L with the i-th successive minimum λi, its i-th gap λi λ1 often provides useful information for analyzing the security of cryptographic schemes related to L. The...
Mingjie Liu, Xiaoyun Wang, Guangwu Xu, Xuexin Zhen...
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 4 months ago
Sparse Signal Recovery with Temporally Correlated Source Vectors Using Sparse Bayesian Learning
— We address the sparse signal recovery problem in the context of multiple measurement vectors (MMV) when elements in each nonzero row of the solution matrix are temporally corre...
Zhilin Zhang, Bhaskar D. Rao
ICASSP
2011
IEEE
14 years 1 months ago
Direction-of-arrival estimation using acoustic vector sensors in the presence of noise
A vector-sensor consisting of a monopole sensor collocated with orthogonally oriented dipole sensors can be used for direction-ofarrival (DOA) estimation. A method is proposed to ...
Dovid Levin, Sharon Gannot, Emanuel A. P. Habets