7 citations · 7 across the 4 of their papers we have counts for
4 papers
Conformal Anomaly Detection for Functional Data with Elastic Distance Metrics
Jason Adams, Brandon Berman, Joshua Michalenko +1
This paper considers the problem of outlier detection in functional data analysis focusing particularly on the more difficult case of shape outliers. We present an inductive confor…
Detecting changepoints in globally-indexed functional time series
Drew Yarger, J. Derek Tucker
In environmental and climate data, there is often an interest in determining if and when changes occur in a system. Such changes may result from localized sources in space and time…
Elastic Functional Changepoint Detection of Climate Impacts from Localized Sources
J. Derek Tucker, Drew Yarger
Detecting changepoints in functional data has become an important problem as interest in monitoring of climate phenomenon has increased, where the data is functional in nature. The…
Dimensionality Reduction using Elastic Measures
J. Derek Tucker, Matthew T. Martinez, Jose M. Laborde
With the recent surge in big data analytics for hyper-dimensional data there is a renewed interest in dimensionality reduction techniques for machine learning applications. In orde…