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TSP
2010
15 years 2 months ago
Methods for sparse signal recovery using Kalman filtering with embedded pseudo-measurement norms and quasi-norms
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
Avishy Carmi, Pini Gurfil, Dimitri Kanevsky
PEPM
2011
ACM
14 years 10 months ago
Allocation removal by partial evaluation in a tracing JIT
The performance of many dynamic language implementations suffers from high allocation rates and runtime type checks. This makes dynamic languages less applicable to purely algorit...
Carl Friedrich Bolz, Antonio Cuni, Maciej FijaBkow...
ECCV
1998
Springer
16 years 9 months ago
Matching Hierarchical Structures Using Association Graphs
?It is well-known that the problem of matching two relational structures can be posed as an equivalent problem of finding a maximal clique in a (derived) ?association graph.? Howev...
Marcello Pelillo, Kaleem Siddiqi, Steven W. Zucker
CCS
2007
ACM
16 years 1 months ago
Optimal security hardening using multi-objective optimization on attack tree models of networks
Researchers have previously looked into the problem of determining if a given set of security hardening measures can effectively make a networked system secure. Many of them also...
Rinku Dewri, Nayot Poolsappasit, Indrajit Ray, Dar...
ATAL
2001
Springer
16 years 6 hour ago
Dynamic Distributed Resource Allocation: A Distributed Constraint Satisfaction Approach
Abstract. In distributed resource allocation a set of agents must assign their resources to a set of tasks. This problem arises in many real-world domains such as distributed senso...
Pragnesh Jay Modi, Hyuckchul Jung, Milind Tambe, W...