Predicting how well applications may run on modern systems is becoming increasingly challenging. It is no longer sufficient to look at number of floating point operations and commu...
Recently, there has been strong interest in large-scale simulations of biological spiking neural networks (SNN) to model the human brain mechanisms and capture its inference capabi...
Mohammad A. Bhuiyan, Vivek K. Pallipuram, Melissa ...
The past few years have witnessed a number of interesting online algorithms for deadline scheduling in the dynamic speed scaling model (in which a processor can vary its speed to ...
This paper revisits the classical problem of detecting interest points, popularly known as "corners," in 2D images by proposing a technique based on fitting algebraic sh...
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...