Kevin R. Moon

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 36

Top Topics

Nearest Neighbor

Manifold Alignment

Dimensionality Reduction

Top Venues

Publications

Shuang Ni, Adrien Aumon, Guy Wolf, Kevin R. Moon, Jake S. Rhodes
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension. CoRR (2024)
Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon
Noisy Data Visualization using Functional Data Analysis. CoRR (2024)
Thomas Kerby, Teresa White, Kevin R. Moon
Exploring higher-order neural network node interactions with total correlation. CoRR (2024)
Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images. CoRR (2024)
Ben Shaw, Abram Magner, Kevin R. Moon
Symmetry Discovery Beyond Affine Transformations. CoRR (2024)
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
Geometry- and Accuracy-Preserving Random Forest Proximities. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Andrés F. Duque, Guy Wolf, Kevin R. Moon
Diffusion Transport Alignment. IDA (2023)
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
Geometry Regularized Autoencoders. IEEE Trans. Pattern Anal. Mach. Intell. 45 (6) (2023)
Andrés F. Duque, Myriam Lizotte, Guy Wolf, Kevin R. Moon
Manifold Alignment with Label Information. CoRR (2022)
Andrés F. Duque, Guy Wolf, Kevin R. Moon
Diffusion Transport Alignment. CoRR (2022)
Jake S. Rhodes, Adele Cutler, Kevin R. Moon
Geometry- and Accuracy-Preserving Random Forest Proximities. CoRR (2022)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble Estimation of Generalized Mutual Information With Applications to Genomics. IEEE Trans. Inf. Theory 67 (9) (2021)
Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon
Gps-Denied Navigation Using Sar Images And Neural Networks. ICASSP (2021)
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration. SSP (2021)
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
Extendable and invertible manifold learning with geometry regularized autoencoders. IEEE BigData (2020)
Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon
Supervised Visualization for Data Exploration. CoRR (2020)
Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon
GPS-Denied Navigation Using SAR Images and Neural Networks. CoRR (2020)
Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon
Extendable and invertible manifold learning with geometry regularized autoencoders. CoRR (2020)
Nathan Brugnone, Smita Krishnaswamy, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. IEEE BigData (2019)
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy 21 (12) (2019)
Andrés F. Duque, Guy Wolf, Kevin R. Moon
Visualizing High Dimensional Dynamical Processes. MLSP (2019)
Andrés F. Duque, Guy Wolf, Kevin R. Moon
Visualizing High Dimensional Dynamical Processes. CoRR (2019)
Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy
Compressed Diffusion. CoRR (2019)
Nathan Brugnone, Alex Gonopolskiy, Mark W. Moyle, Manik Kuchroo, David van Dijk, Kevin R. Moon, Daniel Colón-Ramos, Guy Wolf, Matthew J. Hirn, Smita Krishnaswamy
Coarse Graining of Data via Inhomogeneous Diffusion Condensation. CoRR (2019)
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
. Entropy 20 (8) (2018)
Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III
Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR (2018)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors. CoRR (2017)
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information theoretic structure learning with confidence. ICASSP (2017)
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR (2017)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble estimation of mutual information. ISIT (2017)
Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III
Ensemble Estimation of Mutual Information. CoRR (2017)
Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III
Direct estimation of information divergence using nearest neighbor ratios. ISIT (2017)
Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III
Information Theoretic Structure Learning with Confidence. CoRR (2016)
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
Improving Convergence of Divergence Functional Ensemble Estimators. CoRR (2016)
Stephen V. Gliske, William C. Stacey, Kevin R. Moon, Alfred O. Hero III
The intrinsic value of HFO features as a biomarker of epileptic activity. ICASSP (2016)
Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III
Improving convergence of divergence functional ensemble estimators. ISIT (2016)
Kevin R. Moon, Alfred O. Hero III, Véronique Delouille
Meta learning of bounds on the Bayes classifier error. SP/SPE (2015)
Stephen V. Gliske, Kevin R. Moon, William C. Stacey, Alfred O. Hero III
The intrinsic value of HFO features as a biomarker of epileptic activity. CoRR (2015)
Kevin R. Moon, Véronique Delouille, Alfred O. Hero III
Meta learning of bounds on the Bayes classifier error. CoRR (2015)
Kevin R. Moon, Véronique Delouille, Jimmy J. Li, Ruben De Visscher, Fraser Watson, Alfred O. Hero III
Image patch analysis of sunspots and active regions. II. Clustering via dictionary learning. CoRR (2015)
Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Ruben De Visscher, Fraser Watson, Alfred O. Hero III
Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis. CoRR (2015)
Kevin R. Moon, Alfred O. Hero III
Ensemble estimation of multivariate f-divergence. ISIT (2014)
Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Fraser Watson, Alfred O. Hero III
Image patch analysis and clustering of sunspots: A dimensionality reduction approach. ICIP (2014)
Kevin R. Moon, Alfred O. Hero III
Multivariate f-divergence Estimation With Confidence. NIPS (2014)
Kevin R. Moon, Alfred O. Hero III
Multivariate f-Divergence Estimation With Confidence. CoRR (2014)
Kevin R. Moon, Jimmy J. Li, Véronique Delouille, Fraser Watson, Alfred O. Hero III
Image patch analysis and clustering of sunspots: a dimensionality reduction approach. CoRR (2014)
Kevin R. Moon, Alfred O. Hero III
Ensemble estimation of multivariate f-divergence. CoRR (2014)
Kevin R. Moon, David G. Long
Considerations for Ku-Band Scatterometer Calibration Using the Dry-Snow Zone of the Greenland Ice Sheet. IEEE Geosci. Remote. Sens. Lett. 10 (6) (2013)