Kevin R. Moon | DeepAI

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∙ 10/23/2022

Manifold Alignment with Label Information

Multi-domain data is becoming increasingly common and presents both chal...

0 Andrés F. Duque, et al. ∙

∙ 06/15/2022

Diffusion Transport Alignment

The integration of multimodal data presents a challenge in cases when th...

0 Andrés F. Duque, et al. ∙

∙ 01/29/2022

Geometry- and Accuracy-Preserving Random Forest Proximities

Random forests are considered one of the best out-of-the-box classificat...

8 Jake S. Rhodes, et al. ∙

∙ 10/22/2020

GPS-Denied Navigation Using SAR Images and Neural Networks

Unmanned aerial vehicles (UAV) often rely on GPS for navigation. GPS sig...

0 Teresa White, et al. ∙

∙ 07/14/2020

Extendable and invertible manifold learning with geometry regularized autoencoders

A fundamental task in data exploration is to extract simplified low dime...

0 Andrés F. Duque, et al. ∙

∙ 06/15/2020

Supervised Visualization for Data Exploration

Dimensionality reduction is often used as an initial step in data explor...

13 Jake S. Rhodes, et al. ∙

∙ 07/10/2019

Coarse Graining of Data via Inhomogeneous Diffusion Condensation

Big data often has emergent structure that exists at multiple levels of ...

2 Nathan Brugnone, et al. ∙

∙ 06/25/2019

Visualizing High Dimensional Dynamical Processes

Manifold learning techniques for dynamical systems and time series have ...

15 Andrés F. Duque, et al. ∙

∙ 10/01/2018

Convergence Rates for Empirical Estimation of Binary Classification Bounds

Bounding the best achievable error probability for binary classification...

0 Salimeh Yasaei Sekeh, et al. ∙

∙ 02/17/2017

Direct Estimation of Information Divergence Using Nearest Neighbor Ratios

We propose a direct estimation method for Rényi and f-divergence measure...

0 Morteza Noshad, et al. ∙

∙ 09/13/2016

Information Theoretic Structure Learning with Confidence

Information theoretic measures (e.g. the Kullback Liebler divergence and...

0 Kevin R. Moon, et al. ∙

∙ 10/13/2015

The intrinsic value of HFO features as a biomarker of epileptic activity

High frequency oscillations (HFOs) are a promising biomarker of epilepti...

0 Stephen V. Gliske, et al. ∙

∙ 04/27/2015

Meta learning of bounds on the Bayes classifier error

Meta learning uses information from base learners (e.g. classifiers or e...

0 Kevin R. Moon, et al. ∙

∙ 04/10/2015

Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization

Separating active regions that are quiet from potentially eruptive ones ...

0 Kevin R. Moon, et al. ∙

∙ 03/13/2015

Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis

The flare-productivity of an active region is observed to be related to ...

0 Kevin R. Moon, et al. ∙

∙ 11/07/2014

Multivariate f-Divergence Estimation With Confidence

The problem of f-divergence estimation is important in the fields of mac...

0 Kevin R. Moon, et al. ∙

∙ 06/24/2014

Image patch analysis and clustering of sunspots: a dimensionality reduction approach

Sunspots, as seen in white light or continuum images, are associated wit...

0 Kevin R. Moon, et al. ∙

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