We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
- Redundant via insertion is a good solution to reduce the yield loss by via failure. However, the existing methods are all post-layout optimizations that insert redundant via afte...
Gang Xu, Li-Da Huang, David Z. Pan, Martin D. F. W...
In this paper we propose a method which can morph a high free virtual viewpoint image keeping the epipolar geometry relations based on View Morphing technique. It is works just by...
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
The speedups and the energy reductions achieved in a generic single-chip microprocessor system by employing a high-performance data-path are presented. The data-path acts as a copr...
Michalis D. Galanis, Gregory Dimitroulakos, Costas...