This paper presents a framework for efficient HMM-based estimation of unreliable spectrographic speech data. It discusses the role of Hidden Markov Models (HMMs) during minimum mea...
We present a novel method for iterative reconstruction of high resolution images. Our method is based on the observation that constant regions in an image can be represented at muc...
Hanno Schumacher, Stefan Heldmann, Eldad Haber, Be...
This paper presents a novel approach to representing 2-d shapes that adaptively models different portions of the shape at different resolutions, having higher resolution where it ...
Kaushik Chakrabarti, Michael Ortega-Binderberger, ...