Hierarchical Neural Networks for Im - E-book

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Hierarchical Neural Networks For Image Interpretation - ENG

Sven Behnke

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Sinopsis

ISBN:	9783540451693
Formato:	Page Fidelity
Idioma:	Inglés
Editorial:	Springer Nature
Tema:	Computadoras
Subtema:	Programación algoritmos
Año de publicación:	2003-11-18

Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This bookÂ sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.

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