Titlebook: Image Analysis and Recognition; 10th International C Mohamed Kamel,Aurélio Campilho Conference proceedings 2013 Springer-Verlag Berlin Heid

glomeruli

Amorous

Conference proceedings 2013ing: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications.

prodrome

champaign

外向者

Vulnerary

Facial Expression Recognition by Sparse Reconstruction with Robust Features. Results indicate that sparse reconstruction with .. penalty outperforms SVM and .-NN baselines with the tested features. The best accuracy (97%) was obtained using sparse reconstruction in an unsupervised setting.

Costume

On Solving the Small Sample Size Problem for Marginal Fisher Analysis introduces an implicit distance diffusion mapping. The experiments are conducted on four face data sets. These experiments demonstrate that the introduced schemes can enhance the performance of the MFA framework much better than the widely used PCA based regularization.

CAPE

conjunctivitis

Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning methods can yield improved prediction of aquaplaning performance, even using non-normalised data. Therefore this method has can potentially save substantial cost and time in tyre development. This investigation is based on data provided by Continental Reifen Deutschland GmbH.

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