Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...
Abstract: Wir präsentieren einen Ansatz, um Annotationsdaten von molekularbiologischen Objekten wie Genen, Proteinen und Pathways aus öffentlichen Datenquellen für datenintensiv...
The Internet Distance Map Service (IDMaps) [3] provides distance estimates between any pair of hosts connected to the Internet. The IDMaps system comprises two component types: Tr...
Supervised learning uses a training set of labeled examples to compute a classifier which is a mapping from feature vectors to class labels. The success of a learning algorithm i...