Background: Since many of the new protein structures delivered by high-throughput processes do not have any known function, there is a need for structure-based prediction of prote...
Jean-Christophe Nebel, Pawel Herzyk, David R. Gilb...
Abstract. This paper proposes a novel method to deal with the representation issue in texture classification. A learning framework of image descriptor is designed based on the Fish...
The wide adaptation of GPS and cellular technologies has created many applications that collect and maintain large repositories of data in the form of trajectories. Previous work ...
Marcos R. Vieira, Petko Bakalov, Vassilis J. Tsotr...
Nearest neighbour (NN) searches and k nearest neighbour (k-NN) searches are widely used in pattern recognition and image retrieval. An NN (k-NN) search finds the closest object (...
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...