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» Approaching Optimality for Solving SDD Linear Systems
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SCIA
2009
Springer
183views Image Analysis» more  SCIA 2009»
15 years 10 months ago
Globally Optimal Least Squares Solutions for Quasiconvex 1D Vision Problems
Abstract. Solutions to non-linear least squares problems play an essential role in structure and motion problems in computer vision. The predominant approach for solving these prob...
Carl Olsson, Martin Byröd, Fredrik Kahl
ASPDAC
2001
ACM
104views Hardware» more  ASPDAC 2001»
15 years 8 months ago
Optimal spacing and capacitance padding for general clock structures
Clock-tuning has been classified as important but tough tasks due to the non-convex nature caused by the skew requirements. As a result, all existing mathematical programming appr...
Yu-Min Lee, Hing Yin Lai, Charlie Chung-Ping Chen
SIAMIS
2008
116views more  SIAMIS 2008»
15 years 4 months ago
Quantitative Object Reconstruction Using Abel Transform X-Ray Tomography and Mixed Variable Optimization
This paper introduces a new approach to the problem of quantitative reconstruction of an object from few radiographic views. A mixed variable programming problem is formulated in ...
Mark A. Abramson, Thomas J. Asaki, J. E. Dennis, K...
EATIS
2007
ACM
15 years 8 months ago
Analysing and enhancing business processes and IT-systems for mobile workforce automation: a framework approach
Mobile B2E-applications (business-to-employee) can add significant value to a company's business, when large workforce divisions are involved in the execution of certain busi...
Volker Gruhn, André Köhler
CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 2 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...