Accurate image registration plays a preponderant role in image super-resolution methods and in the related literature landmarkbased registration methods have gained increasing acc...
We consider the problem of classification of a pattern from multiple compressed observations that are collected in a sensor network. In particular, we exploit the properties of r...
In this study, an effective foreground/background segmentation approach for bootstrapping video sequences is proposed. First, a modified block representation approach is used to c...
The problem of audio source separation from a monophonic sound mixture having known instrument types but unknown timbres is presented. An improvement to the Probabilistic Latent C...
An acoustic-phonetics based word-independent technique which uses syllable context for classifying the lexical syllable stress of spoken English words is presented. Nucleus based ...