Titlebook: Articulated Motion and Deformable Objects; 10th International C Francisco José Perales,Josef Kittler Conference proceedings 2018 Springer I

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https://doi.org/10.1007/978-3-319-94544-6artificial intelligence; biometrics; classification; computer vision; human computer interaction; image c

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Articulated Motion and Deformable Objects978-3-319-94544-6Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/161986.jpg

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,Mammographic Mass Segmentation Using Fuzzy C–means and Decision Trees,y diversity and its low–contrast that doesn’t allow a good border definition and anomalies visualization. The aim of this research is the mass anomaly segmentation and classification. Two algorithms are presented: (i) an efficient mass segmentation approach based on a Fuzzy C–means modification usin

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Refining the Pose: Training and Use of Deep Recurrent Autoencoders for Improving Human Pose Estimat simple but efficient Convolutional Neural Network that directly regresses the 3D pose estimation with a recurrent denoising autoencoder that provides pose refinement using the temporal information contained in the sequence of previous frames. Our architecture is also able to provide an integrated t

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