Particle filters provide a robust framework for nonlinear and non-Gaussian estimation problems. In this paper, we present a method to incorporate dominant modulation-domain (Ampl...
An architecture for shape recognition is presented, with emphasis on low-latency and power efficiency. This architecture is an extension of an existing architecture used for moti...
Jason Schlessman, Sankalita Saha, Wayne Wolf, Shuv...
We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection proce...
Nick A. Mould, Chuong T. Nguyen, Colin M. Johnston...
A model of auditory grouping is described in which auditory attention plays a key role. The model is based upon an oscillatory correlation framework, in which neural oscillators r...
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...