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» On Conditions for Linearity of Optimal Estimation
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TIT
2002
99views more  TIT 2002»
14 years 9 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
ICDE
2005
IEEE
128views Database» more  ICDE 2005»
15 years 11 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
UAI
2003
14 years 11 months ago
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
In this paper, we introduce a method for approximating the solution to inference and optimization tasks in uncertain and deterministic reasoning. Such tasks are in general intract...
David Larkin
ICCV
2009
IEEE
16 years 2 months ago
Curvature Regularity for Region-based Image Segmentation and Inpainting: A Linear Programming Relaxation
We consider a class of region-based energies for image segmentation and inpainting which combine region integrals with curvature regularity of the region boundary. To minimize s...
Thomas Schoenemann, Fredrik Kahl, Daniel Cremers
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 3 months ago
Not all linear functions are equally difficult for the compact genetic algorithm
Estimation of distribution algorithms (EDAs) try to solve an optimization problem by finding a probability distribution focussed around its optima. For this purpose they conduct ...
Stefan Droste