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» On the Convergence of Bound Optimization Algorithms
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TIT
2002
99views more  TIT 2002»
15 years 6 months ago
Poisson intensity estimation for tomographic data using a wavelet shrinkage approach
We consider a two-dimensional problem of positron emission tomography where the random mechanism of the generation of the tomographic data is modeled by Poisson processes. The goa...
L. Cavalier, Ja-Yong Koo
CIMAGING
2008
123views Hardware» more  CIMAGING 2008»
15 years 7 months ago
Non-homogeneous ICD optimization for targeted reconstruction of volumetric CT
Medical imaging typically requires the reconstruction of a limited region of interest (ROI) to obtain a high resolution image of the anatomy of interest. Although targeted reconst...
Zhou Yu, Jean-Baptiste Thibault, Charles A. Bouman...
TPDS
1998
92views more  TPDS 1998»
15 years 6 months ago
An Efficient Algorithm for Row Minima Computations on Basic Reconfigurable Meshes
—A matrix A of size m œ n containing items from a totally ordered universe is termed monotone if, for every i, j, 1 ‹ i < j ‹ m, the minimum value in row j lies below or to...
Koji Nakano, Stephan Olariu
SAT
2007
Springer
146views Hardware» more  SAT 2007»
16 years 15 days ago
Algorithms for Variable-Weighted 2-SAT and Dual Problems
Abstract. In this paper we study NP-hard weighted satisfiability optimization problems for the class 2-CNF providing worst-case upper time bounds. Moreover we consider the monoton...
Stefan Porschen, Ewald Speckenmeyer
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
16 years 20 days ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...