This paper presents a new sparse representation for acoustic signals which is based on a mixing model defined in the complex-spectrum domain (where additivity holds), and allows ...
In this work, we implement a real-time visual tracker that targets the position and 3D pose of objects in video sequences, specifically faces. Using Stream Processors for perform...
In this paper, we develop an efficient logistic regression model for multiple instance learning that combines L1 and L2 regularisation techniques. An L1 regularised logistic regr...
The sudden increase in systems-on-a-chip designs has renewed interest in techniques for analyzing and eliminating substrate coupling problems. Previous work on the substrate coupl...
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...