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Found 7 papers, 0 papers with code
PHLP: Sole Persistent Homology for Link Prediction -- Interpretable Feature Extraction
Link prediction (LP), inferring the connectivity between nodes, is a significant research area in graph data, where a link represents essential information on relationships between nodes.
Supervised low-rank semi-nonnegative matrix factorization with frequency regularization for forecasting spatio-temporal data
We propose a novel methodology for forecasting spatio-temporal data using supervised semi-nonnegative matrix factorization (SSNMF) with frequency regularization.
Machine Composition of Korean Music via Topological Data Analysis and Artificial Neural Network
In \cite{TPJ}, the new concept of the {\it {\color{black}{Overlap}} matrix} has been proposed, which visualizes how those cycles are interconnected over the music flow, in a matrix form.
Weighted Isolation and Random Cut Forest Algorithms for Anomaly Detection
To introduce the WIF and WRCF, we first present a new geometric measure, a density measure, which is crucial for constructing the WIF and WRCF.
Topological Data Analysis of Korean Music in Jeongganbo: A Cycle Structure
The graph is used as a point cloud whose homological structure is investigated by measuring the hole structure in each dimension.
Topological Data Analysis
Sound
Computational Geometry
Audio and Speech Processing
The Interconnectivity Vector: A Finite-Dimensional Vector Representation of Persistent Homology
In this paper we propose a new finite-dimensional vector, called the interconnectivity vector, representation of a PD adapted from Bag-of-Words (BoW).
Detection of gravitational waves using topological data analysis and convolutional neural network: An improved approach
The gravitational wave detection problem is challenging because the noise is typically overwhelming.
