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01/26/2021
A Model of Densifying Collaboration Networks
Research collaborations provide the foundation for scientific advances, ...
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10/14/2018
Learning to fail: Predicting fracture evolution in brittle materials using recurrent graph convolutional neural networks
Understanding dynamic fracture propagation is essential to predicting ho...
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02/17/2018
Unsupervised vehicle recognition using incremental reseeding of acoustic signatures
Vehicle recognition and classification have broad applications, ranging ...
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05/27/2017
Dimensionality reduction for acoustic vehicle classification with spectral clustering
Classification of vehicles has broad applications, ranging from traffic ...
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05/27/2017
Machine learning for graph-based representations of three-dimensional discrete fracture networks
Structural and topological information play a key role in modeling of fl...
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05/08/2014
Improving Image Clustering using Sparse Text and the Wisdom of the Crowds
We propose a method to improve image clustering using sparse text and th...
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06/06/2013
Multiclass Semi-Supervised Learning on Graphs using Ginzburg-Landau Functional Minimization
We present a graph-based variational algorithm for classification of hig...
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03/11/2013
Spectral Clustering with Epidemic Diffusion
Spectral clustering is widely used to partition graphs into distinct mod...
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12/05/2012
Multiclass Diffuse Interface Models for Semi-Supervised Learning on Graphs
We present a graph-based variational algorithm for multiclass classifica...
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09/26/2002