
GPSDenied Navigation Using SAR Images and Neural Networks
Unmanned aerial vehicles (UAV) often rely on GPS for navigation. GPS sig...
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Extendable and invertible manifold learning with geometry regularized autoencoders
A fundamental task in data exploration is to extract simplified low dime...
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Supervised Visualization for Data Exploration
Dimensionality reduction is often used as an initial step in data explor...
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Coarse Graining of Data via Inhomogeneous Diffusion Condensation
Big data often has emergent structure that exists at multiple levels of ...
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Visualizing High Dimensional Dynamical Processes
Manifold learning techniques for dynamical systems and time series have ...
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Convergence Rates for Empirical Estimation of Binary Classification Bounds
Bounding the best achievable error probability for binary classification...
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Direct Estimation of Information Divergence Using Nearest Neighbor Ratios
We propose a direct estimation method for Rényi and fdivergence measure...
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Information Theoretic Structure Learning with Confidence
Information theoretic measures (e.g. the Kullback Liebler divergence and...
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The intrinsic value of HFO features as a biomarker of epileptic activity
High frequency oscillations (HFOs) are a promising biomarker of epilepti...
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Meta learning of bounds on the Bayes classifier error
Meta learning uses information from base learners (e.g. classifiers or e...
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Image patch analysis of sunspots and active regions. II. Clustering via matrix factorization
Separating active regions that are quiet from potentially eruptive ones ...
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Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis
The flareproductivity of an active region is observed to be related to ...
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Multivariate fDivergence Estimation With Confidence
The problem of fdivergence estimation is important in the fields of mac...
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Image patch analysis and clustering of sunspots: a dimensionality reduction approach
Sunspots, as seen in white light or continuum images, are associated wit...
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Kevin R. Moon
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