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Found 8 papers, 1 papers with code
The Impact of Changes in Resolution on the Persistent Homology of Images
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.
A Topological Approach for Motion Track Discrimination
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.
Argumentative Topology: Finding Loop(holes) in Logic
Advances in natural language processing have resulted in increased capabilities with respect to multiple tasks.
Bifurcation Analysis using Zigzag Persistence
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.
Teaspoon: A comprehensive python package for topological signal processing
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.
Chatter Diagnosis in Milling Using Supervised Learning and Topological Features Vector
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
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.
Using Persistent Homology to Quantify a Diurnal Cycle in Hurricane Felix
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.
