Current page: Information->Indexed and Annotated Bibliography

ECVision indexed and annotated bibliography of cognitive computer vision publications This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1 The complete text version of this BibTeX file is available here: ECVision_bibliography.bib D. Feiden and R. Tetzlaff Iterative Annealing: a New Efficient Optimization Method for Cellular Neural Networks ABSTRACT Cellular neural networks (CNN) are excellently suited for image processing. A big challenge thereby is the determination of CNN templates for special image processing tasks. In many cases, appropriate templates can only be found by a parameter optimization. Unfortunately, especially in the context of image processing, such an optimization is frequently a difficult task due to a lot of local minima in the error measure. We present a new method of optimization that detects a global minimum of an error measure even if the function contains many local minima. To prove this assertion, we constructed a number of multidimensional test functions, which have not only a global minimum but also many local minima. We present a comparison between the introduced iterative annealing method and other analytical and statistical optimization methods. Furthermore, by using the new optimization method we realized a feature point extractor with CNN

Site generated on Friday, 06 January 2006