We develop a new approach to image denoising based on complexity regularization. This technique presents a flexible alternative to the more conventional l2 , l1 , and Besov regula...
In this paper, we propose a new nonlinear dimensionality reduction algorithm by adopting regularized least-square criterion on local areas of the data distribution. We first propo...
In this paper we consider approximate policy-iteration-based reinforcement learning algorithms. In order to implement a flexible function approximation scheme we propose the use o...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...
To keep up with a large degree of instruction level parallelism (ILP), the Itanium 2 cache systems use a complex organization scheme: load/store queues, banking and interleaving. ...
William Jalby, Christophe Lemuet, Sid Ahmed Ali To...