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AAAI
2008
15 years 9 months ago
Efficient Algorithms to Solve Bayesian Stackelberg Games for Security Applications
In a class of games known as Stackelberg games, one agent (the leader) must commit to a strategy that can be observed by the other agent (the adversary/follower) before the advers...
Praveen Paruchuri, Jonathan P. Pearce, Janusz Mare...
CIMAGING
2010
195views Hardware» more  CIMAGING 2010»
15 years 8 months ago
SPIRAL out of convexity: sparsity-regularized algorithms for photon-limited imaging
The observations in many applications consist of counts of discrete events, such as photons hitting a detector, which cannot be effectively modeled using an additive bounded or Ga...
Zachary T. Harmany, Roummel F. Marcia, Rebecca Wil...
PKDD
2010
Springer
150views Data Mining» more  PKDD 2010»
15 years 5 months ago
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms
Given a contact network that changes over time (say, day vs night connectivity), and the SIS (susceptible/infected/susceptible, flu like) virus propagation model, what can we say ...
B. Aditya Prakash, Hanghang Tong, Nicholas Valler,...
PROCEDIA
2010
75views more  PROCEDIA 2010»
15 years 5 months ago
Two derivative-free optimization algorithms for mesh quality improvement
High-quality meshes are essential in the solution of partial differential equations (PDEs), which arise in numerous science and engineering applications, as the mesh quality aff...
Jeonghyung Park, Suzanne M. Shontz
ICIP
2003
IEEE
16 years 8 months ago
A variational method for Bayesian blind image deconvolution
In this paper the blind image deconvolution (BID) problem is solved using the Bayesian framework. In order to find the parameters of the proposed Bayesian model we present a new g...
Aristidis Likas, Nikolas P. Galatsanos