Titlebook: Artificial Intelligence XXXIV; 37th SGAI Internatio Max Bramer,Miltos Petridis Conference proceedings 2017 Springer International Publishin

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Anthology

Inference and Discovery in Remote Sensing Data with Features Extracted Using Deep Networksnclude that we need to train with considerably more varied data but that, even without fine tuning, features derived from a deep network can produce better classification results than with image data alone.

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Pericarditis

https://doi.org/10.1007/978-1-4842-3330-6e developed workflow engine is completely based on declarative workflow representations, whereas procedural languages are used for workflow modeling. The described approach is fully implemented and our experiments demonstrate sufficient runtime performance for practical use.

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Using Constraint Satisfaction Problem Solving to Enable Workflow Flexibility by Deviation (Best Teche developed workflow engine is completely based on declarative workflow representations, whereas procedural languages are used for workflow modeling. The described approach is fully implemented and our experiments demonstrate sufficient runtime performance for practical use.

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學(xué)術(shù)討論會(huì)

The Platform Logging API and Service, trainable parameters utilized by an equivalent model based on state-of-the-art Convolutional Neural Networks on the Urbansound8k. We extended the Urbansound8k dataset with YorNoise, where experiments have shown that common tonal properties affect the classification performance.