Titlebook: Advances in Visual Computing; 10th International S George Bebis,Richard Boyle,Mark Carlson Conference proceedings 2014 Springer Internation

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Mast-Cell

A New Coin Segmentation and Graph-Based Identification Method for Numismatic Applicationentified to a monetary class represented by a template coin. The similarity score of two coins is computed from graphs constructed by feature points. Validation on the USA Grading dataset demonstrates that the proposed method obtains promising results with an identification accuracy of 94.4% on 2450 coins of 148 classes.

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https://doi.org/10.1007/978-3-319-61726-8l feature selection and machine learning classification methods in order to minimize the classification error. For dermoscopic images, the developed methodology achieves an accuracy of 87% regarding asymmetry classification while, for mobile acquired images the accuracy reaches 73.1%.

chiropractor

Spatial Cognition in Virtual Reality,ce. We validate our segmentation approach against manually segmented images provided by the Cell Tracking Challenge consortium. Our method produces encouraging segmentation results with an average DICE score of 0.78 over a variety of simulated and real sequences and speeds up the convergence rate by an average factor of 10.2.

竖琴

On a Priori Evaluation of Power of Vetoes, namely the . We manage to derive training and inference algorithms for our model with computational costs identical to simple first-order HMMs, despite its entailed infinitely-long time-dependencies, by employing a mean-field-like approximation. The efficacy of our proposed model is experimentally demonstrated.

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Matteo Brunelli,Robert Fullér,József Mezeification, segmentation and an abnormal event detection from the video using the proposed motion features. Experimental results show that the PxC improves performance of the image classification and the unsupervised image segmentation.

亵渎

N. Brousse,J. C. Fournet,C. Silly,G. Lenoirs vital for robotic navigation, so we build a spatial uncertainty model for the system, which can be easily specialized to either subsystems. The fusion method is shown to have gain in performance from the spatial uncertainty perspectives.

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