Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide ...
Trent McConaghy, Pieter Palmers, Georges G. E. Gie...
Abstract. The paradigm shift in processor design from monolithic processors to multicore has renewed interest in programming models that facilitate parallelism. While multicores ar...
Shan Shan Huang, Amir Hormati, David F. Bacon, Rod...
We address the problem of multiclass object detection. Our aims are to enable models for new categories to benefit from the detectors built previously for other categories, and fo...
The Eclipse Modeling Framework (EMF) and its meta-meta model Ecore support uni-directional and bi-directional references. It is quite common that references are defined uni-directi...
Martin Hanysz, Tobias Hoppe, Axel Uhl, Andreas Sei...