Nobody would deny that music may evoke deep and profound emotions. In this paper, we present a perceptual music composition system that aims at the controlled manipulation of a us...
In this paper we present a novel approach for patternconstrained test case generation. The generation of test cases with known characteristics is usually a non-trivial task. In co...
Generative algorithms for learning classifiers use training data to separately estimate a probability model for each class. New items are classified by comparing their probabiliti...
In the proposed work a method for generating HDR images based on exposure blending is described. Using three differently exposed images a single image with recovered details in sha...
In this paper we propose a generative statistical approach for the three dimensional (3D) extraction of the branching structure of unfoliaged deciduous trees from urban image seque...