Multi-scale architectures and attention modules have shown effectiveness in many deep learning-based image de-raining methods. However, manually designing integrating these two components into a neural network requires bulk of labor extensive expertise. In this article, high-performance multi-scale attentive architecture search (MANAS) framework is technically developed for deraining. The propo...

The ALVINN (Autonomous Land Vehicle In a Neural Network) project addresses the problem of training arti cial neural networks in real time to perform di cult perception tasks. ALVINN is a back-propagation network designed to drive the CMU Navlab, a modi ed Chevy van. This paper describes the training techniques which allow ALVINN to learn in under 5 minutes to autonomously control the Navlab by ...

We give an example of a neural net withou t hidden layers and with a sigmoid transfer funct ion, together with a training set of binary vectors, for which the sum of the squared errors, regarded as a function of the weights, has a local minimum which is not a global minimum. The example consists of a set of 125 t raining instances, with four weights and a th reshold to be learned. We do not kno...

ethods: Sixteen surgical residents had initial psychomotor bility testing; then they were randomized to either the VR raining group (n 8) or the control non-VR-trained group (n 8). Virtual reality training was done using the MIST-VR imulator diathermy task. Training was considered complete hen expert criterion levels were achieved. All subjects in both roups then performed laparoscopic cholecys...

I sat with my aunt and uncle, Linda and Robert Glancy, at the kitchen table of their home in North London’s Hampstead Garden Suburb. As usual for Sunday lunch, smoked salmon, egg salad, liver pâté and bagels featured prominently, and though I can’t quite recall, it was likely raining. “Well, Graham started swimming when?”, my uncle asked himself, after I questioned him about my dad’s athletic c...