Learning long-term temporal dependencies with recurrent neural networks can be a difficult problem. It has recently been shown that a class of recurrent neural networks called NA...
—It is well-known that the linear scale-space theory in computer vision is mainly based on the Gaussian kernel. The purpose of the paper is to propose a scale-space theory based ...
In two experiments, subjects traveled through virtual mazes, encountering target objects along the way. Their task was to indicate the direction to these target objects from a ter...
Sarah S. Chance, Florence Gaunet, Andrew C. Beall,...
It is well known that after placing n balls independently and uniformly at random into n bins, the fullest bin holds (logn=log logn) balls with high probability. Recently, Azar et...
Micah Adler, Soumen Chakrabarti, Michael Mitzenmac...
ion Techniques for Validation Coverage Analysis and Test Generation Dinos Moundanos, Jacob A. Abraham, Fellow, IEEE, and Yatin V. Hoskote —The enormous state spaces which must be...
Dinos Moundanos, Jacob A. Abraham, Yatin Vasant Ho...