This code learns an explanatory graph for a pre-trained CNN. We have tested this code using CNNs learned by the matconvnet. However, you can extend this code to CNNs learned by other platforms, e.g.
Objectives To date, consistent evidence for consequences of heading in football (soccer) on the structure and function of the ...
This repository contains a PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation".(https://arxiv.org/abs/2106. ...
Abstract: Most industrial system failures are caused by engine failure that can be very serious and cause significant downtime. Therefore, continuous health monitoring, accurate fault detection and ...
Abstract: The article discusses the development of a mathematical model of a hub substation. Achieving the required parameters of stability and reliability of power supply is not always possible to ...
Collagen is the most abundant protein in the human body and has an important role in healthy tissue as well as in a range of prevalent diseases. Medical research and diagnostics hence call for means ...
Each line segment of a distance-time graph represents one part of a journey. A distance-time graph, sometimes referred to as a travel graph, is a way of representing a journey. It is helpful to have ...
Available from Computing Services: http://www.cmu.edu/computing/software/all/matlab/download.html You need to be on CMU network or VPN to CMU network to use MATLAB ...
Who are the adults in children’s lives? By The Learning Network Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning ...
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