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TISSEC
2008
202views more  TISSEC 2008»
15 years 6 months ago
A Framework for Identifying Compromised Nodes in Wireless Sensor Networks
compromised sensor nodes. The framework provides an appropriate abstraction of applicationspecific detection mechanisms and models the unique properties of sensor networks. Based o...
Qing Zhang, Ting Yu, Peng Ning
TIT
2008
121views more  TIT 2008»
15 years 6 months ago
Stability Results for Random Sampling of Sparse Trigonometric Polynomials
Recently, it has been observed that a sparse trigonometric polynomial, i.e. having only a small number of non-zero coefficients, can be reconstructed exactly from a small number o...
Holger Rauhut
162
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SIAMCOMP
2000
109views more  SIAMCOMP 2000»
15 years 5 months ago
Dual-Bounded Generating Problems: Partial and Multiple Transversals of a Hypergraph
Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
Endre Boros, Vladimir Gurvich, Leonid Khachiyan, K...
SIAMDM
1998
95views more  SIAMDM 1998»
15 years 5 months ago
The Graphs with All Subgraphs T-Perfect
The richest class of t-perfect graphs known so far consists of the graphs with no so-called odd-K4. Clearly, these graphs have the special property that they are hereditary t-perfe...
A. M. H. Gerards, F. Bruce Shepherd
SIAMIS
2011
15 years 1 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang