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IJCV
2000
93views more  IJCV 2000»
15 years 3 months ago
How Optimal Depth Cue Integration Depends on the Task
Bayesian parameter estimation can be used to generate statistically optimal solutions to the problem of cue integration. However, the complexity and dimensionality of these solutio...
Paul R. Schrater, Daniel Kersten
160
Voted
SAJ
2002
105views more  SAJ 2002»
15 years 3 months ago
Hierarchical level of detail optimization for constant frame rate rendering of radiosity scenes
The predictive hierarchical level of detail optimization algorithm of Mason and Blake is experimentally evaluated in the form of a practical application to hierarchical radiosity....
Shaun Nirenstein, Edwin H. Blake, Simon Winberg, A...
TCAD
1998
82views more  TCAD 1998»
15 years 3 months ago
LOT: Logic Optimization with Testability. New transformations for logic synthesis
—A new approach to optimize multilevel logic circuits is introduced. Given a multilevel circuit, the synthesis method optimizes its area while simultaneously enhancing its random...
Mitrajit Chatterjee, Dhiraj K. Pradhan, Wolfgang K...
109
Voted
PROCEDIA
2010
75views more  PROCEDIA 2010»
15 years 2 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
151
Voted
CDC
2010
IEEE
226views Control Systems» more  CDC 2010»
14 years 10 months ago
Fast primal-dual projected linear iterations for distributed consensus in constrained convex optimization
In this paper we study the constrained consensus problem, i.e. the problem of reaching a common point from the estimates generated by multiple agents that are constrained to lie in...
Ion Necoara, Ioan Dumitrache, Johan A. K. Suykens