We present a novel weighted approach for shrinkage functions learning in image denoising. The proposed approach optimizes the shape of the shrinkage functions and maximizes denois...
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
We present an efficient image categorization and retrieval system applied to medical image databases, in particular large radiograph archives. The methodology presented is based ...
Uri Avni, Hayit Greenspan, Michal Sharon, Eli Kone...
As part of our investigation of how abstract principles are operationalized to facilitate their application to specific fact situations, we have begun to develop and experiment wit...
In the framework of the preparation of linguistic web services for corpus processing, the need for a representation format was felt, which supports interoperability between differ...
Ulrich Heid, Helmut Schmid, Kerstin Eckart, Erhard...