Michael Kirby

According to our database, Michael Kirby authored at least 68 papers between 1989 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Correction to: Nonlinear feature selection using sparsity-promoted centroid-encoder.

Tomojit Ghosh, Michael Kirby

Neural Comput. Appl., January, 2024

2023

Nonlinear feature selection using sparsity-promoted centroid-encoder.

Tomojit Ghosh, Michael Kirby

Neural Comput. Appl., October, 2023

Locally linear attributes of ReLU neural networks.

Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge

Frontiers Artif. Intell., February, 2023

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

Karim Karimov, Michael Kirby, Chris Peterson

Frontiers Artif. Intell., February, 2023

Leveraging linear mapping for model-agnostic adversarial defense.

Huma Jamil, Yajing Liu, Nathaniel Blanchard, Michael Kirby, Chris Peterson

Frontiers Comput. Sci., 2023

ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog.

Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby

CoRR, 2023

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

Tomojit Ghosh, Michael Kirby, Karim Karimov

CoRR, 2023

Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder.

Tomojit Ghosh, Michael Kirby

CoRR, 2023

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

Tomojit Ghosh, Michael Kirby

CoRR, 2023

ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology.

Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby

Proceedings of the Topological, 2023

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

Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby

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

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

Tomojit Ghosh, Michael Kirby

Proceedings of the IEEE International Conference on Big Data, 2023

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

Tomojit Ghosh, Karim Karimov, Michael Kirby

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.

Xiaofeng Ma, Michael Kirby, Chris Peterson

Neural Comput. Appl., 2022

Supervised Dimensionality Reduction and Visualization using Centroid-Encoder.

Tomojit Ghosh, Michael Kirby

J. Mach. Learn. Res., 2022

Towards an HPC Complementary Computing Facility.

Kenneth Herner, Michael Kirby, Steven Timm

CoRR, 2022

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

Tomojit Ghosh, Michael Kirby

CoRR, 2022

The Flag Median and FlagIRLS.

Nathan Mankovich, Emily J. King, Chris Peterson, Michael Kirby

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

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

Huma Jamil, Yajing Liu, Christina M. Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson

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.

Xiaofeng Ma, Michael Kirby, Chris Peterson

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.

Xiaofeng Ma, Michael Kirby, Chris Peterson, Louis Scharf

Neural Comput. Appl., 2020

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

Xiaofeng Ma, Michael Kirby, Chris Peterson

CoRR, 2020

Exploring Musical Structure Using Tonnetz Lattice Geometry and LSTMs.

Manuchehr Aminian, Eric Kehoe, Xiaofeng Ma, Amy Peterson, Michael Kirby

Proceedings of the Computational Science - ICCS 2020, 2020

2019

Motion Segmentation via Generalized Curvatures.

Robert T. Arn, Pradyumna Narayana, Tegan Emerson, Bruce A. Draper, Michael Kirby, Chris Peterson

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

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

Xiaofeng Ma, Manuchehr Aminian, Michael Kirby

J. Comput. Appl. Math., 2019

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

Henry Kvinge, Elin Farnell, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler

CoRR, 2019

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

Elin Farnell, Henry Kvinge, John P. Dixon, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler, Christian W. Smith

CoRR, 2019

Subspace Quantization on the Grassmannian.

Shannon Stiverson, Michael Kirby, Chris Peterson

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

Self-Organizing Mappings on the Flag Manifold.

Xiaofeng Ma, Michael Kirby, Chris Peterson

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.

Henry Kvinge, Michael Kirby, Chris Peterson, Chad Eitel, Tod Clapp

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.

Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson

CoRR, 2018

Manifold Curvature From Covariance Analysis.

Javier Álvarez-Vizoso, Michael Kirby, Chris Peterson

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

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

Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson

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.

Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson

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

Endmember Extraction on the Grassmannian.

Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson

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.

Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson

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.

Lori Ziegelmeier, Michael Kirby, Chris Peterson

SIAM Rev., 2017

Sparse Grassmannian Embeddings for Hyperspectral Data Representation and Classification.

Sofya Chepushtanova, Michael Kirby

IEEE Geosci. Remote. Sens. Lett., 2017

Persistence Images: A Stable Vector Representation of Persistent Homology.

Henry Adams, Tegan Emerson, Michael Kirby, Rachel Neville, Chris Peterson, Patrick D. Shipman, Sofya Chepushtanova, Eric M. Hanson, Francis C. Motta, Lori Ziegelmeier

J. Mach. Learn. Res., 2017

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

Michael Kirby, Chris Peterson

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.

Xiaofeng Ma, Tomojit Ghosh, Michael Kirby

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

Sparse Locally Linear Embedding.

Lori Ziegelmeier, Michael Kirby, Chris Peterson

Proceedings of the International Conference on Computational Science, 2017

Constrained subspace estimation via convex optimization.

Ignacio Santamaría, Javier Vía, Michael Kirby, Tim Marrinan, Chris Peterson, Louis Scharf

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Reduced dimension estimators in matched subspace detection.

Tegan Emerson, Michael Kirby, Chris Peterson, Louis Scharf

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

An order fitting rule for optimal subspace averaging.

Ignacio Santamaría, Louis L. Scharf, Chris Peterson, Michael Kirby, Joseph M. Francos

Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies.

Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier

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

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

Mmanu Chaturvedi, Tomojit Ghosh, Michael Kirby, Xiaoyu Liu, Xiaofeng Ma, Shannon Stiverson

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.

Daniel J. Bates, Brent R. Davis, Michael Kirby, Justin Marks, Chris Peterson

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).

Salman Habib, Robert Roser, Tom LeCompte, Zach Marshall, Anders Borgland, Brett Viren, Peter Nugent, Makoto Asai, Lothar Bauerdick, Hal Finkel, Steven Gottlieb, Stefan Hoeche, Paul Sheldon, Jean-Luc Vay, Peter Elmer, Michael Kirby, Simon J. Patton, Maxim Potekhin, Brian Yanny, Paolo Calafiura, Eli Dart, Oliver Gutsche, Taku Izubuchi, Adam Lyon, Don Petravick

CoRR, 2015

Persistence Images: An Alternative Persistent Homology Representation.

Sofya Chepushtanova, Tegan Emerson, Eric M. Hanson, Michael Kirby, Francis C. Motta, Rachel Neville, Chris Peterson, Patrick D. Shipman, Lori Ziegelmeier

CoRR, 2015

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

Tegan Emerson, Michael Kirby, Kelly Bethel, Anand Kolatkar, Madelyn Luttgen, Stephen O'Hara, Paul K. Newton, Peter Kuhn

Comput. Medical Imaging Graph., 2015

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

Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier

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

2014

Classification of hyperspectral imagery on embedded Grassmannians.

Sofya Chepushtanova, Michael Kirby

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.

Tim Marrinan, Bruce A. Draper, J. Ross Beveridge, Michael Kirby, Chris Peterson

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.

Tim Marrinan, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Chris Peterson

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

2012

Locally Linear Embedding Clustering Algorithm for Natural Imagery

Lori Ziegelmeier, Michael Kirby, Chris Peterson

CoRR, 2012

2010

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

Joshua Thompson, David W. Dreisigmeyer, Terry Jones, Michael Kirby, 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.

Yui Man Lui, J. Ross Beveridge, Michael Kirby

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE.

J. Ross Beveridge, Bruce A. Draper, Jen-Mei Chang, Michael Kirby, Holger Kley, Chris Peterson

IEEE Trans. Pattern Anal. Mach. Intell., 2009

2008

Image-set matching using a geodesic distance and cohort normalization.

Yui Man Lui, J. Ross Beveridge, Bruce A. Draper, Michael Kirby

Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

Feature Extraction via Kernelized Signal Fraction Analysis vs Kernelized Principal Component Analysis.

Fatemeh Emdad, Michael Kirby, Seyed A. Zekavat

Proceedings of The 2008 International Conference on Data Mining, 2008

2007

Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces.

Jen-Mei Chang, Michael Kirby, Holger Kley, Chris Peterson, Bruce A. Draper, J. Ross Beveridge

Proceedings of the Computer Vision, 2007

2006

Illumination Face Spaces Are Idiosyncratic.

Jen-Mei Chang, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Holger Kley, Chris Peterson

Proceedings of the 2006 International Conference on Image Processing, 2006

2003

Adaptive Antenna Beam Forming Via Maximum Noise Fraction for Multi Carrier CDMA Systems.

Fatemeh Emdad, Seyed A. Zekavat, Michael Kirby

Proceedings of the International Conference on Wireless Networks, 2003

1994

Biotechnology and the law.

Michael Kirby

Comput. Law Secur. Rev., 1994

1993

A model problem in the representation of digital image sequences.

Michael Kirby, F. Weisser, Gerhard Dangelmayr

Pattern Recognit., 1993

1992

Information security - OECD initiatives.

Michael Kirby

Comput. Law Secur. Rev., 1992

1989

Informatics, transborder data flows and law - the new challenges.

Michael Kirby

Comput. Law Secur. Rev., 1989