Search Results for author: Sarah Tymochko

Found 8 papers, 0 papers with code

The Impact of Changes in Resolution on the Persistent Homology of Images

no code implementations10 Nov 2021 Teresa Heiss, Sarah Tymochko, Brittany Story, Adélie Garin, Hoa Bui, Bea Bleile, Vanessa Robins

Digital images enable quantitative analysis of material properties at micro and macro length scales, but choosing an appropriate resolution when acquiring the image is challenging.

Topological Data Analysis

A Topological Approach for Motion Track Discrimination

no code implementations10 Feb 2021 Tegan Emerson, Sarah Tymochko, George Stantchev, Jason A. Edelberg, Michael Wilson, Colin C. Olson

Detecting small targets at range is difficult because there is not enough spatial information present in an image sub-region containing the target to use correlation-based methods to differentiate it from dynamic confusers present in the scene.

Teaspoon: A comprehensive python package for topological signal processing

no code implementations NeurIPS Workshop TDA_and_Beyond 2020 Audun D Myers, Melih Yesilli, Sarah Tymochko, Firas Khasawneh, Elizabeth Munch

The emerging field of topological signal processing brings methods from Topological Data Analysis (TDA) to create new tools for signal processing by incorporating aspects of shape.

Topological Data Analysis

Bifurcation Analysis using Zigzag Persistence

no code implementations NeurIPS Workshop TDA_and_Beyond 2020 Sarah Tymochko, Elizabeth Munch, Firas Khasawneh

As bifurcations in a dynamical system are drastic behavioral changes, being able to detect when these bifurcations occur can be essential to understanding the system overall.

Time Series

Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector

no code implementations27 Oct 2019 Melih C. Yesilli, Sarah Tymochko, Firas A. Khasawneh, Elizabeth Munch

In this study, we use topological features of data simulating cutting tool vibrations, combined with four supervised machine learning algorithms to diagnose chatter in the milling process.

Adaptive Partitioning for Template Functions on Persistence Diagrams

no code implementations18 Oct 2019 Sarah Tymochko, Elizabeth Munch, Firas A. Khasawneh

As the field of Topological Data Analysis continues to show success in theory and in applications, there has been increasing interest in using tools from this field with methods for machine learning.

Topological Data Analysis

Using Persistent Homology to Quantify a Diurnal Cycle in Hurricane Felix

no code implementations17 Feb 2019 Sarah Tymochko, Elizabeth Munch, Jason Dunion, Kristen Corbosiero, Ryan Torn

The diurnal cycle of tropical cyclones (TCs) is a daily cycle in clouds that appears in satellite images and may have implications for TC structure and intensity.

Topological Data Analysis

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