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Iterative Hillclimbing Optimization Techniques



Год выпуска: 2010
Автор: Piya Bunyaratavej
Издательство: LAP Lambert Academic Publishing
Страниц: 104
ISBN: 9783838336657
Описание
This book is a reproduction of my thesis work. An iterative hillclimbing optimization technique was introduced in this thesis. It was used to tackle many index assignment problems, i.e. transform image encoding, noisy image decoding, and image segmentation. We introduced an iterative algorithm which has a hillclimbing property on the cost function. We then extended the algorithm to hyperspectral image coding. We realized that the algorithm can be generalized to other applications as well. We applied the iterative hillclimbing idea to noisy channel image decoding. We also investigated a Turbo-like joint source channel decoding technique, which is another kind of iterative decoding. Lastly, we re-investigated the image segmentation application, using the iterative hillclimbing algorithm. The hillclimbing method inspired development of another iterative algorithm which is an extension to mean-field annealing, with applications both to image decoding and image ...


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Здравствуйте, Ирина! Хочу сказать Вам ОГОРОМНОЕ СПАСИБО за Вашу помощь в сопровождении диплома!!! Тем более, что это делалось в экстренном режиме!!!