Michael Kirby

CoRR, 2024

A Multi-domain Multi-task Approach for Feature Selection from Bulk RNA Datasets.

[BibT_eX]

[DOI]

Karim Salta

Proceedings of the Computational Science - ICCS 2024, 2024

2023

Nonlinear feature selection using sparsity-promoted centroid-encoder.

[BibT_eX]

[DOI]

Neural Comput. Appl., October, 2023

Locally linear attributes of ReLU neural networks.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., February, 2023

An algorithm for computing Schubert varieties of best fit with applications.

[BibT_eX]

[DOI]

Karim Karimov

Frontiers Artif. Intell., February, 2023

Exploring fMRI RDMs: enhancing model robustness through neurobiological data.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2023

Leveraging linear mapping for model-agnostic adversarial defense.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2023

ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog.

[BibT_eX]

[DOI]

CoRR, 2023

Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection.

[BibT_eX]

[DOI]

Karim Karimov

CoRR, 2023

Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder.

[BibT_eX]

[DOI]

CoRR, 2023

Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder.

[BibT_eX]

[DOI]

CoRR, 2023

ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology.

[BibT_eX]

[DOI]

Proceedings of the Topological, 2023

Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

Sparse Linear Centroid-Encoder: A Biomarker Selection tool for High Dimensional Biological Data.

[BibT_eX]

[DOI]

Karim Karimov

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Self-organizing mappings on the flag manifold with applications to hyper-spectral image data analysis.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Supervised Dimensionality Reduction and Visualization using Centroid-Encoder.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2022

Towards an HPC Complementary Computing Facility.

[BibT_eX]

[DOI]

Kenneth Herner

Steven Timm

CoRR, 2022

Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection.

[BibT_eX]

[DOI]

CoRR, 2022

The Flag Median and FlagIRLS.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

The flag manifold as a tool for analyzing and comparing data sets.

[BibT_eX]

[DOI]

CoRR, 2020

Exploring Musical Structure Using Tonnetz Lattice Geometry and LSTMs.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Motion Segmentation via Generalized Curvatures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Error-adaptive modeling of streaming time-series data using radial basis functions.

[BibT_eX]

[DOI]

Manuchehr Aminian

J. Comput. Appl. Math., 2019

More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing.

[BibT_eX]

[DOI]

Elizabeth C. Schundler

CoRR, 2019

A data-driven approach to sampling matrix selection for compressive sensing.

[BibT_eX]

[DOI]

Elizabeth C. Schundler

Christian W. Smith

CoRR, 2019

Subspace Quantization on the Grassmannian.

[BibT_eX]

[DOI]

Shannon Stiverson

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

Self-Organizing Mappings on the Flag Manifold.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

2018

Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets.

[BibT_eX]

[DOI]

CoRR, 2018

Manifold Curvature From Covariance Analysis.

[BibT_eX]

[DOI]

Javier Álvarez-Vizoso

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 17th International Symposium on Parallel and Distributed Computing, 2018

Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018

Endmember Extraction on the Grassmannian.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Data Science Workshop, 2018

Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary.

[BibT_eX]

[DOI]

Lori Ziegelmeier

SIAM Rev., 2017

Sparse Grassmannian Embeddings for Hyperspectral Data Representation and Classification.

[BibT_eX]

[DOI]

Sofya Chepushtanova

IEEE Geosci. Remote. Sens. Lett., 2017

Persistence Images: A Stable Vector Representation of Persistent Homology.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Visualizing data sets on the Grassmannian using self-organizing mappings.

[BibT_eX]

[DOI]

Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, 2017

A sequential simplex algorithm for automatic data and center selecting radial basis functions.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Sparse Locally Linear Embedding.

[BibT_eX]

[DOI]

Lori Ziegelmeier

Proceedings of the International Conference on Computational Science, 2017

Constrained subspace estimation via convex optimization.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Reduced dimension estimators in matched subspace detection.

[BibT_eX]

[DOI]

Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

An order fitting rule for optimal subspace averaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies.

[BibT_eX]

[DOI]

Proceedings of the Computational Topology in Image Context - 6th International Workshop, 2016

Explorations in Very Early Prognosis of the Human Immune Response to Influenza.

[BibT_eX]

[DOI]

Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015

The max-length-vector line of best fit to a set of vector subspaces and an optimization problem over a set of hyperellipsoids.

[BibT_eX]

[DOI]

Numer. Linear Algebra Appl., 2015

High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems).

[BibT_eX]

[DOI]

CoRR, 2015

Persistence Images: An Alternative Persistent Homology Representation.

[BibT_eX]

[DOI]

CoRR, 2015

Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2015

An application of persistent homology on Grassmann manifolds for the detection of signals in hyperspectral imagery.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014

Classification of hyperspectral imagery on embedded Grassmannians.

[BibT_eX]

[DOI]

Sofya Chepushtanova

Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014

Finding the Subspace Mean or Median to Fit Your Need.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Flag Manifolds for the Characterization of Geometric Structure in Large Data Sets.

[BibT_eX]

[DOI]

Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013

2012

Locally Linear Embedding Clustering Algorithm for Natural Imagery

[BibT_eX]

[DOI]

Lori Ziegelmeier

CoRR, 2012

2010

Accurate fault prediction of BlueGene/P RAS logs via geometric reduction.

[BibT_eX]

[DOI]

Joshua Thompson

David W. Dreisigmeyer

Terry Jones

Joshua Ladd

Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W 2010), Chicago, Illinois, USA, June 28, 2010

Action classification on product manifolds.

[BibT_eX]

[DOI]

Yui Man Lui

J. Ross Beveridge