We describe a novel method for human detection in single images which can detect full bodies as well as close-up views in the presence of clutter and occlusion. Humans are modeled ...
Krystian Mikolajczyk, Cordelia Schmid, Andrew Ziss...
In low bit-rate coders, the near-sample and far-sample redundancies of the speech signal are usually removed by a cascade of a shortterm and a long-term linear predictor. These tw...
Abstract. This paper presents a fast object class localization framework implemented on a data parallel architecture currently available in recent computers. Our case study, the im...
We have developed a novel and simple mathematical model of a slow excitatory postsynaptic potential ased on an abstraction of the processes of activation, inactivation, and summati...
P. P. Bertrand, E. A. Thomas, W. A. A. Kunze, J. C...
Symbol spotting problem requires feature extraction strategies able to generalize from training samples and to localize the target object while discarding most part of the image. ...