Traditionally, software engineering processes are based on a formalist model that emphasizes strict documentation, procedural and validation standards. Although this is a poor fit...
Reliable estimation of the classification performance of learned predictive models is difficult, when working in the small sample setting. When dealing with biological data it is ...
Antti Airola, Tapio Pahikkala, Willem Waegeman, Be...
Asymmetric stereoscopic video coding takes advantage of the binocular suppression of the human vision by representing one of the views with a lower quality. This paper describes a...
Software Process Improvement needs sound empirical data gathered from a range of empirical studies such as controlled experiments or case studies. However, conducting empirical st...
This paper presents a new approach to feature analysis in automatic speech recognition (ASR) based on locality preserving projections (LPP). LPP is a manifold based dimensionality...