In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...
Impression evidence in the form of shoe-prints are commonly found in crime scenes. A critical step in automatic shoe-print identification is extraction of the shoe-print pattern. ...
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
This paper describes a system to automatically segment the left ventricle in all slices and all phases of cardiac cine magnetic resonance datasets. After localizing the left ventri...
Marie-Pierre Jolly, Hui Xue, Leo Grady, Jens Gu...
In this study a confidence measure for probability density functions (pdfs) is presented. The measure can be used in one-class classification to select a pdf threshold for class i...
Jarmo Ilonen, Pekka Paalanen, Joni-Kristian Kamara...