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Towards Efficient Sampling: Exploiting Random Walk Strategies
We consider the question of whether state-of-the-art satisfiability procedures, based on random walk strategies, can be used to sample uniformly or nearuniformly from the space of satisfying assignments. Expand
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Strategic Commitments for an Optimal Capacity Decision Under Asymmetric Forecast Information
We study the important problem of how to assure credible forecast information sharing between a supplier and a manufacturer. Expand
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Centralized Binary Patterns Embedded with Image Euclidean Distance for Facial Expression Recognition
  • Xiaofeng Fu, W. Wei
  • Mathematics, Computer Science
  • Fourth International Conference on Natural…
  • 18 October 2008
The existing local binary pattern (LBP) operators have three disadvantages: (1) They produce rather long histograms, which slow down the recognition speed especially on large-scale face database; (2) Under some certain circumstance, they miss the local structure as they don't consider the effect of the center pixel; (3) The binary data produced by them are sensitive to noise. Expand
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Inventory Control with Limited Capacity and Advance Demand Information
We address a periodic-review, stochastic, capacitated, finite and infinite horizon production system faced by a manufacturer who can obtain advance demand information. Expand
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Notions of multivariate dependence and their applications in optimal portfolio selections with dependent risks
  • J. Cai, W. Wei
  • Computer Science, Mathematics
  • J. Multivar. Anal.
  • 1 June 2015
We propose the dependence notions of LWSAI and WSAI to model multivariate dependent risks and generalize many existing studies on optimal portfolio selections with dependent risks. Expand
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The effect of land uses and rainfall regimes on runoff and soil erosion in the semi-arid loess hilly area, China
The main purpose of this article is to analyze runoff and soil loss in relation to land use and rainfall regimes in a loess hilly area of China. Based on 14 years of field measurements and K-meansExpand
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Policy Certificates: Towards Accountable Reinforcement Learning
The performance of a reinforcement learning algorithm can vary drastically during learning because of exploration. Expand
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COCO-GAN: Generation by Parts via Conditional Coordinating
We propose COnditional COordinate GAN (COCO-GAN) of which the generator generates images by parts based on their spatial coordinates as the condition. Expand
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Multipath unicast and multicast video communication over wireless ad hoc networks
  • W. Wei, A. Zakhor
  • Computer Science
  • First International Conference on Broadband…
  • 25 October 2004
In this paper, we introduce new path diversity schemes to provide robustness for both unicast and multicast video communication applications over wireless ad hoc networks. Expand
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Efficiently Mining Top-K High Utility Sequential Patterns
In this paper, we propose a novel framework called top-k high utility sequential pattern mining to tackle this critical problem. Expand
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