In this paper, we provide a flexible and automatic method to partition the functional space for efficient symbolic simulation. We utilize a 2-tuple list representation as the basi...
Tao Feng, Li-C. Wang, Kwang-Ting Cheng, Chih-Chan ...
Modern processors perform dynamic scheduling to achieve better utilization of execution resources. A schedule created at run-time is often better than one created at compile-time ...
Francesco Spadini, Brian Fahs, Sanjay J. Patel, St...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
Ever-increasing complexity of large-scale applications and continuous increases in sizes of the data they process make the problem of maximizing performance of such applications a...
Mahmut T. Kandemir, Seung Woo Son, Mustafa Karak&o...
This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel ...
Yung-Yu Chuang, Brian Curless, David Salesin, Rich...