Abstract--Power analysis early in the design cycle is critical for the design of lowpower systems. With the move to system-level specifications and design methodologies, there has ...
Evolutionary algorithms (EAs) have been applied with success to many numerical and combinatorial optimization problems in recent years. However, they often lose their effectivenes...
In the planning-as-SAT paradigm there have been numerous recent developments towards improving the speed and scalability of planning at the cost of finding a step-optimal parallel...
Nathan Robinson, Charles Gretton, Duc Nghia Pham, ...
We propose a framework for intensity-based registration of images by linear transformations, based on a discrete Markov Random Field (MRF) formulation. Here, the challenge arises ...
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Gr...
The paper introduces a new framework for feature learning in classification motivated by information theory. We first systematically study the information structure and present a n...