Michael Kirby

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 61

Top Topics

Dimensionality Reduction

Top Venues

Neural Comput. Appl.

Publications

Karim Salta, Tomojit Ghosh, Michael Kirby
A Multi-domain Multi-task Approach for Feature Selection from Bulk RNA Datasets. ICCS (4) (2024)
Tomojit Ghosh, Michael Kirby
Linear Centroid Encoder for Supervised Principal Component Analysis. Pattern Recognit. 155 (2024)
Yajing Liu, Turgay Caglar, Chris Peterson, Michael Kirby
Integrating geometries of ReLU feedforward neural networks. Frontiers Big Data 6 (2024)
Karim Salta, Tomojit Ghosh, Michael Kirby
A Multi-Domain Multi-Task Approach for Feature Selection from Bulk RNA Datasets. CoRR (2024)
Tomojit Ghosh, Michael Kirby
Correction to: Nonlinear feature selection using sparsity-promoted centroid-encoder. Neural Comput. Appl. 36 (1) (2024)
Tomojit Ghosh, Michael Kirby, Karim Karimov
Sparse Linear Centroid-Encoder: A Convex Method for Feature Selection. CoRR (2023)
William Pickard, Kelsey Sikes, Huma Jamil, Nicholas Chaffee, Nathaniel Blanchard, Michael Kirby, Chris Peterson
Exploring fMRI RDMs: enhancing model robustness through neurobiological data. Frontiers Comput. Sci. 5 (2023)
Tomojit Ghosh, Michael Kirby
Nonlinear feature selection using sparsity-promoted centroid-encoder. Neural Comput. Appl. 35 (29) (2023)
Tomojit Ghosh, Michael Kirby
Feature Selection using Sparse Adaptive Bottleneck Centroid-Encoder. CoRR (2023)
Tomojit Ghosh, Michael Kirby
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder. CoRR (2023)
Huma Jamil, Yajing Liu, Nathaniel Blanchard, Michael Kirby, Chris Peterson
Leveraging linear mapping for model-agnostic adversarial defense. Frontiers Comput. Sci. 5 (2023)
Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. CVPR Workshops (2023)
Tomojit Ghosh, Karim Karimov, Michael Kirby
Sparse Linear Centroid-Encoder: A Biomarker Selection tool for High Dimensional Biological Data. BIBM (2023)
Karim Karimov, Michael Kirby, Chris Peterson
An algorithm for computing Schubert varieties of best fit with applications. Frontiers Artif. Intell. 6 (2023)
Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homology. TAG-ML (2023)
Huma Jamil, Yajing Liu, Turgay Caglar, Christina M. Cole, Nathaniel Blanchard, Christopher Peterson, Michael Kirby
Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection. CoRR (2023)
Tomojit Ghosh, Michael Kirby
Feature Selection on Big Data using Masked Sparse Bottleneck Centroid-Encoder. BigData (2023)
Yajing Liu, Christina M. Cole, Chris Peterson, Michael Kirby
ReLU Neural Networks, Polyhedral Decompositions, and Persistent Homolog. CoRR (2023)
Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge
Locally linear attributes of ReLU neural networks. Frontiers Artif. Intell. 6 (2023)
Xiaofeng Ma, Michael Kirby, Chris Peterson
Self-organizing mappings on the flag manifold with applications to hyper-spectral image data analysis. Neural Comput. Appl. 34 (1) (2022)
Nathan Mankovich, Emily J. King, Chris Peterson, Michael Kirby
The Flag Median and FlagIRLS. CVPR (2022)
Nathan Mankovich, Emily J. King, Chris Peterson, Michael Kirby
The Flag Median and FlagIRLS. CoRR (2022)
Tomojit Ghosh, Michael Kirby
Sparse Centroid-Encoder: A Nonlinear Model for Feature Selection. CoRR (2022)
Tomojit Ghosh, Michael Kirby
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder. J. Mach. Learn. Res. 23 (2022)
Huma Jamil, Yajing Liu, Christina Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. CoRR (2022)
Huma Jamil, Yajing Liu, Christina Cole, Nathaniel Blanchard, Emily J. King, Michael Kirby, Christopher Peterson
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. Big Data (2022)
Xiaofeng Ma, Michael Kirby, Chris Peterson
The Flag Manifold as a Tool for Analyzing and Comparing Sets of Data Sets. ICCVW (2021)
Xiaofeng Ma, Michael Kirby, Chris Peterson
The flag manifold as a tool for analyzing and comparing data sets. CoRR (2020)
Benjamin Sattelberg, Renzo Cavalieri, Michael Kirby, Chris Peterson, J. Ross Beveridge
Locally Linear Attributes of ReLU Neural Networks. CoRR (2020)
Tomojit Ghosh, Michael Kirby
Supervised Dimensionality Reduction and Visualization using Centroid-encoder. CoRR (2020)
Xiaofeng Ma, Michael Kirby, Chris Peterson, Louis Scharf
Self-organizing mappings on the Grassmannian with applications to data analysis in high dimensions. Neural Comput. Appl. 32 (24) (2020)
Manuchehr Aminian, Eric Kehoe, Xiaofeng Ma, Amy Peterson, Michael Kirby
Exploring Musical Structure Using Tonnetz Lattice Geometry and LSTMs. ICCS (2) (2020)
Elin Farnell, Henry Kvinge, John P. Dixon, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler, Christian W. Smith
A data-driven approach to sampling matrix selection for compressive sensing. CoRR (2019)
Shannon Stiverson, Michael Kirby, Chris Peterson
Subspace Quantization on the Grassmannian. WSOM+ (2019)
Henry Kvinge, Elin Farnell, Julia R. Dupuis, Michael Kirby, Chris Peterson, Elizabeth C. Schundler
More chemical detection through less sampling: amplifying chemical signals in hyperspectral data cubes through compressive sensing. CoRR (2019)
Henry Kvinge, Michael Kirby, Chris Peterson, Chad Eitel, Tod Clapp
A Walk Through Spectral Bands: Using Virtual Reality to Better Visualize Hyperspectral Data. WSOM+ (2019)
Robert T. Arn, Pradyumna Narayana, Tegan Emerson, Bruce A. Draper, Michael Kirby, Chris Peterson
Motion Segmentation via Generalized Curvatures. IEEE Trans. Pattern Anal. Mach. Intell. 41 (12) (2019)
Xiaofeng Ma, Manuchehr Aminian, Michael Kirby
Error-adaptive modeling of streaming time-series data using radial basis functions. J. Comput. Appl. Math. 362 (2019)
Xiaofeng Ma, Michael Kirby, Chris Peterson
Self-Organizing Mappings on the Flag Manifold. WSOM+ (2019)
Javier Alvarez-Vizoso, Michael Kirby, Chris Peterson
Manifold Curvature From Covariance Analysis. SSP (2018)
Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large datasets. IEEE BigData (2018)
Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
Monitoring the shape of weather, soundscapes, and dynamical systems: a new statistic for dimension-driven data analysis on large data sets. CoRR (2018)
Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. CoRR (2018)
Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
A GPU-Oriented Algorithm Design for Secant-Based Dimensionality Reduction. ISPDC (2018)
Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson
Endmember Extraction on the Grassmannian. DSW (2018)
Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. HPEC (2018)
Henry Kvinge, Elin Farnell, Michael Kirby, Chris Peterson
Too many secants: a hierarchical approach to secant-based dimensionality reduction on large data sets. CoRR (2018)
Elin Farnell, Henry Kvinge, Michael Kirby, Chris Peterson
Endmember Extraction on the Grassmannian. CoRR (2018)
Henry Adams, Tegan Emerson, Michael Kirby, Rachel Neville, Chris Peterson, Patrick D. Shipman, Sofya Chepushtanova, Eric M. Hanson, Francis C. Motta, Lori Ziegelmeier
Persistence Images: A Stable Vector Representation of Persistent Homology. J. Mach. Learn. Res. 18 (2017)
Xiaofeng Ma, Tomojit Ghosh, Michael Kirby
A sequential simplex algorithm for automatic data and center selecting radial basis functions. IJCNN (2017)
Ignacio Santamaría, Javier Vía, Michael Kirby, Tim Marrinan, Chris Peterson, Louis Scharf
Constrained subspace estimation via convex optimization. EUSIPCO (2017)
Lori Ziegelmeier, Michael Kirby, Chris Peterson
Sparse Locally Linear Embedding. ICCS (2017)
Michael Kirby, Chris Peterson
Visualizing data sets on the Grassmannian using self-organizing mappings. WSOM (2017)
Lori Ziegelmeier, Michael Kirby, Chris Peterson
Stratifying High-Dimensional Data Based on Proximity to the Convex Hull Boundary. SIAM Rev. 59 (2) (2017)
Sofya Chepushtanova, Michael Kirby
Sparse Grassmannian Embeddings for Hyperspectral Data Representation and Classification. IEEE Geosci. Remote. Sens. Lett. 14 (3) (2017)
Mmanu Chaturvedi, Tomojit Ghosh, Michael Kirby, Xiaoyu Liu, Xiaofeng Ma, Shannon Stiverson
Explorations in Very Early Prognosis of the Human Immune Response to Influenza. BCB (2016)
Tegan Emerson, Michael Kirby, Chris Peterson, Louis Scharf
Reduced dimension estimators in matched subspace detection. WHISPERS (2016)
Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier
Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies. CoRR (2016)
Ignacio Santamaría, Louis L. Scharf, Chris Peterson, Michael Kirby, Joseph M. Francos
An order fitting rule for optimal subspace averaging. SSP (2016)
Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier
Persistent Homology on Grassmann Manifolds for Analysis of Hyperspectral Movies. CTIC (2016)
Lori Ziegelmeier, Michael Kirby, Chris Peterson
Stratifying High Dimensional Data Based on Proximity to the Convex Hull Boundary. CoRR (2016)
Sofya Chepushtanova, Michael Kirby, Chris Peterson, Lori Ziegelmeier
An application of persistent homology on Grassmann manifolds for the detection of signals in hyperspectral imagery. IGARSS (2015)
Sofya Chepushtanova, Tegan Emerson, Eric M. Hanson, Michael Kirby, Francis C. Motta, Rachel Neville, Chris Peterson, Patrick D. Shipman, Lori Ziegelmeier
Persistence Images: An Alternative Persistent Homology Representation. CoRR (2015)
Tegan Emerson, Michael Kirby, Kelly Bethel, Anand Kolatkar, Madelyn Luttgen, Stephen O'Hara, Paul K. Newton, Peter Kuhn
Fourier-ring descriptor to characterize rare circulating cells from images generated using immunofluorescence microscopy. Comput. Medical Imaging Graph. 40 (2015)
Sofya Chepushtanova, Michael Kirby
Classification of Hyperspectral Imagery on Embedded Grassmannians. CoRR (2015)
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
High Energy Physics Forum for Computational Excellence: Working Group Reports (I. Applications Software II. Software Libraries and Tools III. Systems). CoRR (2015)
Daniel J. Bates, Brent R. Davis, Michael Kirby, Justin Marks, Chris Peterson
The max-length-vector line of best fit to a set of vector subspaces and an optimization problem over a set of hyperellipsoids. Numer. Linear Algebra Appl. 22 (3) (2015)
Tim Marrinan, Bruce A. Draper, J. Ross Beveridge, Michael Kirby, Chris Peterson
Finding the Subspace Mean or Median to Fit Your Need. CVPR (2014)
Sofya Chepushtanova, Michael Kirby
Classification of hyperspectral imagery on embedded Grassmannians. WHISPERS (2014)
Tim Marrinan, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Chris Peterson
Flag Manifolds for the Characterization of Geometric Structure in Large Data Sets. ENUMATH (2013)
Lori Ziegelmeier, Michael Kirby, Chris Peterson
Locally Linear Embedding Clustering Algorithm for Natural Imagery CoRR (2012)
Joshua Thompson, David W. Dreisigmeyer, Terry Jones, Michael Kirby, Joshua Ladd
Accurate fault prediction of BlueGene/P RAS logs via geometric reduction. DSN Workshops (2010)
Yui Man Lui, J. Ross Beveridge, Michael Kirby
Action classification on product manifolds. CVPR (2010)
J. Ross Beveridge, Bruce A. Draper, Jen-Mei Chang, Michael Kirby, Holger Kley, Chris Peterson
Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE. IEEE Trans. Pattern Anal. Mach. Intell. 31 (2) (2009)
Fatemeh Emdad, Michael Kirby, Seyed A. Zekavat
Feature Extraction via Kernelized Signal Fraction Analysis vs Kernelized Principal Component Analysis. DMIN (2008)
Yui Man Lui, J. Ross Beveridge, Bruce A. Draper, Michael Kirby
Image-set matching using a geodesic distance and cohort normalization. FG (2008)
Jen-Mei Chang, Michael Kirby, Holger Kley, Chris Peterson, Bruce A. Draper, J. Ross Beveridge
Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces. ACCV (2) (2007)
Jen-Mei Chang, J. Ross Beveridge, Bruce A. Draper, Michael Kirby, Holger Kley, Chris Peterson
Illumination Face Spaces Are Idiosyncratic. IPCV (2006)
Fatemeh Emdad, Seyed A. Zekavat, Michael Kirby
Adaptive Antenna Beam Forming Via Maximum Noise Fraction for Multi Carrier CDMA Systems. International Conference on Wireless Networks (2003)
Michael Kirby
Biotechnology and the law. Comput. Law Secur. Rev. 10 (1) (1994)
Michael Kirby, F. Weisser, Gerhard Dangelmayr
A model problem in the representation of digital image sequences. Pattern Recognit. 26 (1) (1993)
Michael Kirby
Information security - OECD initiatives. Comput. Law Secur. Rev. 8 (3) (1992)
Michael Kirby
Informatics, transborder data flows and law - the new challenges. Comput. Law Secur. Rev. 5 (4) (1989)