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Multi-scale local shape analysis and feature selection in machine learning applications

Publication ,  Conference
Bendich, P; Gasparovic, E; Harer, J; Izmailov, R; Ness, L
Published in: Proceedings of the International Joint Conference on Neural Networks
September 28, 2015

We introduce a method called multi-scale local shape analysis for extracting features that describe the local structure of points within a dataset. The method uses both geometric and topological features at multiple levels of granularity to capture diverse types of local information for subsequent machine learning algorithms operating on the dataset. Using synthetic and real dataset examples, we demonstrate significant performance improvement of classification algorithms constructed for these datasets with correspondingly augmented features.

Duke Scholars

Published In

Proceedings of the International Joint Conference on Neural Networks

DOI

ISBN

9781479919604

Publication Date

September 28, 2015

Volume

2015-September
 

Citation

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Bendich, P., Gasparovic, E., Harer, J., Izmailov, R., & Ness, L. (2015). Multi-scale local shape analysis and feature selection in machine learning applications. In Proceedings of the International Joint Conference on Neural Networks (Vol. 2015-September). https://doi.org/10.1109/IJCNN.2015.7280428
Bendich, P., E. Gasparovic, J. Harer, R. Izmailov, and L. Ness. “Multi-scale local shape analysis and feature selection in machine learning applications.” In Proceedings of the International Joint Conference on Neural Networks, Vol. 2015-September, 2015. https://doi.org/10.1109/IJCNN.2015.7280428.
Bendich P, Gasparovic E, Harer J, Izmailov R, Ness L. Multi-scale local shape analysis and feature selection in machine learning applications. In: Proceedings of the International Joint Conference on Neural Networks. 2015.
Bendich, P., et al. “Multi-scale local shape analysis and feature selection in machine learning applications.” Proceedings of the International Joint Conference on Neural Networks, vol. 2015-September, 2015. Scopus, doi:10.1109/IJCNN.2015.7280428.
Bendich P, Gasparovic E, Harer J, Izmailov R, Ness L. Multi-scale local shape analysis and feature selection in machine learning applications. Proceedings of the International Joint Conference on Neural Networks. 2015.

Published In

Proceedings of the International Joint Conference on Neural Networks

DOI

ISBN

9781479919604

Publication Date

September 28, 2015

Volume

2015-September