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2020 – today
- 2024
[c16]Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon:
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images. IGARSS 2024: 8005-8009- [i28]Scout Jarman, Zigfried Hampel-Arias, Adra Carr, Kevin R. Moon:
Local Background Estimation for Improved Gas Plume Identification in Hyperspectral Images. CoRR abs/2401.13068 (2024) - [i27]Thomas J. Kerby, Teresa White, Kevin R. Moon:
Exploring higher-order neural network node interactions with total correlation. CoRR abs/2402.04440 (2024) - [i26]Haozhe Chen, Andres Felipe Duque Correa, Guy Wolf, Kevin R. Moon:
Noisy Data Visualization using Functional Data Analysis. CoRR abs/2406.03396 (2024) - [i25]Ben Shaw, Abram Magner, Kevin R. Moon:
Symmetry Discovery Beyond Affine Transformations. CoRR abs/2406.03619 (2024) - [i24]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 abs/2406.04421 (2024) - [i23]Thomas J. Kerby, Kevin R. Moon:
Training-Free Guidance for Discrete Diffusion Models for Molecular Generation. CoRR abs/2409.07359 (2024) - 2023
- [j6]Andrés F. Duque, Sacha Morin, Guy Wolf
, Kevin R. Moon:
Geometry Regularized Autoencoders. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7381-7394 (2023) - [j5]Jake S. Rhodes, Adele Cutler, Kevin R. Moon:
Geometry- and Accuracy-Preserving Random Forest Proximities. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10947-10959 (2023) - [c15]Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Diffusion Transport Alignment. IDA 2023: 116-129 - 2022
- [i22]Jake S. Rhodes, Adele Cutler, Kevin R. Moon:
Geometry- and Accuracy-Preserving Random Forest Proximities. CoRR abs/2201.12682 (2022) - [i21]Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Diffusion Transport Alignment. CoRR abs/2206.07305 (2022) - [i20]Andrés F. Duque, Myriam Lizotte, Guy Wolf, Kevin R. Moon:
Manifold Alignment with Label Information. CoRR abs/2210.12774 (2022) - 2021
- [j4]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): 5963-5996 (2021) - [c14]Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon:
Gps-Denied Navigation Using Sar Images And Neural Networks. ICASSP 2021: 2395-2399 - [c13]Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon:
Random Forest-Based Diffusion Information Geometry for Supervised Visualization and Data Exploration. SSP 2021: 331-335 - 2020
- [c12]Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon:
Extendable and invertible manifold learning with geometry regularized autoencoders. IEEE BigData 2020: 5027-5036 - [i19]Jake S. Rhodes, Adele Cutler, Guy Wolf, Kevin R. Moon:
Supervised Visualization for Data Exploration. CoRR abs/2006.08701 (2020) - [i18]Andrés F. Duque, Sacha Morin, Guy Wolf, Kevin R. Moon:
Extendable and invertible manifold learning with geometry regularized autoencoders. CoRR abs/2007.07142 (2020) - [i17]Teresa White, Jesse Wheeler, Colton Lindstrom, Randall Christensen, Kevin R. Moon:
GPS-Denied Navigation Using SAR Images and Neural Networks. CoRR abs/2010.12108 (2020)
2010 – 2019
- 2019
- [j3]Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. Entropy 21(12): 1144 (2019) - [c11]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: 2624-2633 - [c10]Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Visualizing High Dimensional Dynamical Processes. MLSP 2019: 1-6 - [i16]Scott Gigante, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy:
Compressed Diffusion. CoRR abs/1902.00033 (2019) - [i15]Andrés F. Duque, Guy Wolf, Kevin R. Moon:
Visualizing High Dimensional Dynamical Processes. CoRR abs/1906.10725 (2019) - [i14]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 abs/1907.04463 (2019) - 2018
- [j2]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Ensemble Estimation of Information Divergence †. Entropy 20(8): 560 (2018) - [i13]Salimeh Yasaei Sekeh, Morteza Noshad, Kevin R. Moon, Alfred O. Hero III:
Convergence Rates for Empirical Estimation of Binary Classification Bounds. CoRR abs/1810.01015 (2018) - 2017
- [c9]Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Information theoretic structure learning with confidence. ICASSP 2017: 6095-6099 - [c8]Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Direct estimation of information divergence using nearest neighbor ratios. ISIT 2017: 903-907 - [c7]Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III:
Ensemble estimation of mutual information. ISIT 2017: 3030-3034 - [i12]Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III:
Ensemble Estimation of Mutual Information. CoRR abs/1701.08083 (2017) - [i11]Morteza Noshad, Kevin R. Moon, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios. CoRR abs/1702.05222 (2017) - [i10]Kevin R. Moon, Kumar Sricharan, Alfred O. Hero III:
Ensemble Estimation of Distributional Functionals via $k$-Nearest Neighbors. CoRR abs/1707.03083 (2017) - 2016
- [c6]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: 6290-6294 - [c5]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Improving convergence of divergence functional ensemble estimators. ISIT 2016: 1133-1137 - [i9]Kevin R. Moon, Kumar Sricharan, Kristjan H. Greenewald, Alfred O. Hero III:
Improving Convergence of Divergence Functional Ensemble Estimators. CoRR abs/1601.06884 (2016) - [i8]Kevin R. Moon, Morteza Noshad, Salimeh Yasaei Sekeh, Alfred O. Hero III:
Information Theoretic Structure Learning with Confidence. CoRR abs/1609.03912 (2016) - 2015
- [c4]Kevin R. Moon, Alfred O. Hero III, Véronique Delouille:
Meta learning of bounds on the Bayes classifier error. SP/SPE 2015: 13-18 - [i7]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 abs/1503.04127 (2015) - [i6]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 abs/1504.02762 (2015) - [i5]Kevin R. Moon, Véronique Delouille, Alfred O. Hero III:
Meta learning of bounds on the Bayes classifier error. CoRR abs/1504.07116 (2015) - [i4]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 abs/1510.03507 (2015) - 2014
- [c3]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: 1623-1627 - [c2]Kevin R. Moon, Alfred O. Hero III:
Ensemble estimation of multivariate f-divergence. ISIT 2014: 356-360 - [c1]Kevin R. Moon, Alfred O. Hero III:
Multivariate f-divergence Estimation With Confidence. NIPS 2014: 2420-2428 - [i3]Kevin R. Moon, Alfred O. Hero III:
Ensemble estimation of multivariate f-divergence. CoRR abs/1404.6230 (2014) - [i2]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 abs/1406.6390 (2014) - [i1]Kevin R. Moon, Alfred O. Hero III:
Multivariate f-Divergence Estimation With Confidence. CoRR abs/1411.2045 (2014) - 2013
- [j1]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): 1344-1349 (2013)
Coauthor Index
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