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Titlebook: Image Analysis and Recognition; 7th International Co Aurélio Campilho,Mohamed Kamel Conference proceedings 2010 Springer-Verlag Berlin Heid

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M. Häfner,A. Gangl,M. Liedlgruber,Andreas Uhl,A. Vécsei,F. Wrbadieval Europe. According to him ‘as soon as the child could live without the constant solicitude of his mother, his nanny or his cradle-rocker, he belonged to adult society’.. This happened around the age of seven, sometimes even earlier. It seems that in Middle Eastern urban society, however, the p
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Seyed Hamid Rezatofighi,Kosar Khaksari,Hamid Soltanian-Zadehandate of Public Law 94-142. In spite of the numerous examinations of these topics there has never been a serious dialogue between medical professionals and educators with the child as the focus. These proceedings represent such a unique event. The paradigm of the medically exceptional child is the
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Christos Maramis,Evangelia Minga,Anastasios Delopoulos and the mandate of Public Law 94-142. In spite of the numerous examinations of these topics there has never been a serious dialogue between medical professionals and educators with the child as the focus. These proceedings represent such a unique event. The paradigm of the medically exceptional chi
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C. M. R. Caridade,A. R. S. Marcal,T. Mendonça,A. M. Pessoa,S. Pereiraand other similar legislation. Let’s move back in time to World War I; how many soldiers, injured in battle, lived? How many babies survived through infantile diseases? Not many. Just remember where we were at that time in medicine and technology. Where in the history of medicine were we during the
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Automated Vertebra Identification from X-Ray Images based solution for the vertebra identification from X-ray images. Compared with the existing graphical model based methods, the proposed method does not ask for a training process using training data and it also has the capability to automatically determine the number of vertebrae visible in the im
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Towards Non Invasive Diagnosis of Scoliosis Using Semi-supervised Learning Approached. One hundred and fifty-nine scoliosis patients had their back surface acquired in 3D using an optical digitizer. Each surface is then characterized by 45 local measurements of the back surface rotation. Using a semi-supervised algorithm, the classifier is trained with only 32 labeled and 58 unlab
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