We propose, analyze and test an alternating minimization algorithm for recovering images from blurry and noisy observations with total variation (TV) regularization. This algorith...
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
We present a set of advanced program parallelization techniques that are able to signi cantly improve the performance of application programs. We present evidence for this improve...
The efficiency of a points-to analysis is critical for several compiler optimizations and transformations, and has attracted considerable research attention. Despite several advanc...
- In this article, we present an algorithm which is capable of transforming a gridded dogleg channel routing problem into a constraint programming (CP) problem. The transformed CP ...
I-Lun Tseng, Huan-Wen Chen, Che-I Lee, Adam Postul...