We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
Typical packet traffic in a sensor network reveals pronouncedpatterns that allow an adversary analyzing packet traffic to deduce the location of a base station. Once discovered, t...
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
— Consider a coverage problem for a team of agents in the plane: target points appear sporadically over time in a bounded environment and must be visited by one of the agents. It...
Abstract— The ever-increasing popularity of web services, growing demand for wireless multimedia and introduction of new, feature-enhanced, hand-held devices has already given bi...
Navrati Saxena, Maria Cristina Pinotti, Kalyan Bas...