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—This paper describes the HASY dataset of handwritten symbols. HASY is a publicly available, 1 free of charge dataset of single symbols similar to MNIST. It contains 168 233 instances of 369 classes. HASY contains two challenges: A classification challenge with 10 pre-defined folds for 10-fold cross-validation and a verification challenge.
—This survey gives an overview over different techniques used for pixel-level semantic segmentation. Metrics and datasets for the evaluation of segmenta-tion algorithms and traditional approaches for segmen-tation such as unsupervised methods, Decision Forests and SVMs are described and pointers to the relevant papers are given. Recently published(More)
—Pixel-wise street segmentation of photographs taken from a drivers perspective is important for self-driving cars and can also support other object recognition tasks. A framework called SST was developed to examine the accuracy and execution time of different neural networks. The best neural network achieved an F1-score of 89.5 % with a simple feedforward(More)
—Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple forms: As images, as text and as audio. This paper gives a high level overview of how they are created and gives(More)
Convolutional Neural Networks (CNNs) dominate various computer vision tasks since Alex Krizhevsky showed that they can be trained effectively and reduced the top-5 error from 26.2 % to 15.3 % on the ImageNet large scale visual recognition challenge. Many aspects of CNNs are examined in various publications, but literature about the analysis and construction(More)
Inactivated vaccines are commonly produced by incubating pathogens with chemicals such as formaldehyde or β-propiolactone. This is a time-consuming process, the inactivation efficiency displays high variability and extensive downstream procedures are often required. Moreover, application of chemicals alters the antigenic components of the viruses or(More)
[5] M. P. C. Fossorier and S. Lin, " Soft-decision decoding of linear block codes based on ordered statistics, " IEEE Trans. [16] H. J. Landau, " How does a porcupine separate its quills?, " IEEE Trans. " Classification of signal sets. The classification capability of multi-layer perceptrons and soft-decision decoding of error-correcting codes, " Ph. " New(More)
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