Convolutional Neural Networks (CNN) are more suitable, indeed. However, ...
We present SSAG, an efficient and scalable method for computing a lossy ...
Convolutional Neural Networks (CNN) have been rigorously studied for
Hyp...
Convolutional Neural Networks (CNN) has been extensively studied for
Hyp...
Hyperspectral Imaging (HSI) has been extensively utilized in many real-l...
Traditional Active/Self/Interactive Learning for Hyperspectral Image
Cla...
Hyperspectral imaging (HSI) has been extensively utilized for a number o...
Immunizing a subset of nodes in a network - enabling them to identify an...
Many machine learning methods (classification, clustering, etc.) start w...
Preserving red-chili quality is of utmost importance in which the author...
The tools employed in the DevOps Toolchain generates a large quantity of...
Massive sizes of real-world graphs, such as social networks and web grap...
Given a network of nodes, minimizing the spread of a contagion using a
l...
The problem of identifying important players in a given network is of pi...
In order to make hyperspectral image classification compu- tationally
tr...
We present a novel approach of color transfer between images by explorin...