Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
Abstract: Spectral variability frequently presents a significant challenge for the unmixing process when employing the conventional linear mixture model to analyze remote sensing hyperspectral data.
This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...
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