This paper addresses the problem of efficiently solving large-scale energy minimization problems encountered in computer vision. We propose an energy-aware method for merging ran...
Taesup Kim, Sebastian Nowozin, Pushmeet Kohli, Cha...
We present a selective encoding method that reduces test data volume and test application time for scan testing of Intellectual Property (IP) cores. This method encodes the slices ...
We present different techniques for reducing the number of states and transitions in nondeterministic automata. These techniques are based on the two preorders over the set of st...
Background: Most genomic data have ultra-high dimensions with more than 10,000 genes (probes). Regularization methods with L1 and Lp penalty have been extensively studied in survi...
Zhenqiu Liu, Dechang Chen, Ming Tan, Feng Jiang, R...
This paper proposes a novel Behavioral Synthesis method that improves performance of synthesized circuits utilizing specialized functional units effectively. Specialized functional...