Abstract: This paper proposes an extensive tour of the evolution over 5 decades of the Vector Network Analyzers. The stimulus-response essential concept has been pushed to ultra-wideband modulated ...
Abstract: This article studies remote sensing image retrieval using kernel-based support vector data description (SVDD). We exploit deep SVDD, which is a well-known method for one-class classification ...
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 ...