Titlebook: Image Processing & Communications Challenges 2; Ryszard S. Chora? Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Augme

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hypertension

VICAL: Visual Cognitive Architecture for Concepts Learning to Understanding Semantic Image Contentasks, we strongly emphasize on a novel evolutionary pyramidal learning. Indeed, this elaborated learning approach based on association rules enables to learn highest concepts induced from concepts of lower level in order to progressively understand the highest semantic content of an input image.

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記憶法

1867-5662 mage Processing- Applications- Communications.Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.978-3-642-16294-7978-3-642-16295-4Series ISSN 1867-5662 Series E-ISSN 1867-5670

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Feature Type and Size Selection for AdaBoost Face Detection AlgorithmAdditional parameter that limits the area on which the features are calculated is also introduced. The experiments carried out on the set of MIT 19×19 face and non-face examples showed the usefulness of particular types of features and their influence on generalization.

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Conference proceedings 2010puter Vision and Image Processing- Biometric- Recognition and Classification- Biomedical Image Processing- Applications- Communications.Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.