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Neural forecasting: Introduction and literature overview
Neural network based forecasting methods have become ubiquitous in large...
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Constrained 1-Spectral Clustering
An important form of prior information in clustering comes in form of ca...
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Tight Continuous Relaxation of the Balanced k-Cut Problem
Spectral Clustering as a relaxation of the normalized/ratio cut has beco...
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The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Hypergraphs allow one to encode higher-order relationships in data and a...
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Constrained fractional set programs and their application in local clustering and community detection
The (constrained) minimization of a ratio of set functions is a problem ...
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Syama Sundar Rangapuram
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