The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
Automatically understanding human actions from video sequences is a very challenging problem. This involves the extraction of relevant visual information from a video sequence, re...
Background: The sparse connectivity of protein-protein interaction data sets makes identification of functional modules challenging. The purpose of this study is to critically eva...
Using current technology, large consecutive stretches of DNA (such as whole chromosomes) are usually assembled from short fragments obtained by shotgun sequencing, or from fragment...
Daniel H. Huson, Aaron L. Halpern, Zhongwu Lai, Eu...
Background: Alternative splicing (AS) is now considered as a major actor in transcriptome/ proteome diversity and it cannot be neglected in the annotation process of a new genome....