Morse complexes and Morse-Smale complexes are topological descriptors po...
Tropical cyclones (TCs) are among the most destructive weather systems.
...
A geometric graph is an abstract graph along with an embedding of the gr...
Although deep learning has achieved remarkable success in various scient...
Merge trees, contour trees, and Reeb graphs are graph-based topological
...
In recent years, multitudes of researches have applied deep learning to
...
Existing error-bounded lossy compression techniques control the pointwis...
We first introduce the notion of meta-rank for a 2-parameter persistence...
In this paper, we present a flexible and probabilistic framework for tra...
Topological data analysis (TDA) is a branch of computational mathematics...
Critical point tracking is a core topic in scientific visualization for
...
We present a new topological connection method for the local bilinear
co...
Force-directed layouts belong to a popular class of methods used to posi...
Deep neural networks used for image classification often use convolution...
Traffic flow forecasting is essential for traffic planning, control and
...
Traffic forecasting is an essential component of intelligent transportat...
Hypergraphs capture multi-way relationships in data, and they have
conse...
Merge trees, a type of topological descriptor, serve to identify and
sum...
We explore pseudometrics for directed graphs in order to better understa...
High-throughput technologies to collect field data have made observation...
Analyzing the effects of ocean eddies is important in oceanology for gai...
In topological data analysis and visualization, topological descriptors ...
We present a state-of-the-art report on visualization in astrophysics. W...
The mapper construction is a powerful tool from topological data analysi...
We study hypergraph visualization via its topological simplification. We...
Word vector embeddings have been shown to contain and amplify biases in ...
Plot-based Graphic API recommendation (Plot2API) is an unstudied but
mea...
In 2008, Langevin and Leander determined the dual function of three clas...
We present results from parallelizing the unpacking and clustering steps...
Merge trees are a type of topological descriptors that record the
connec...
The high penetration of transportation electrification and its associate...
The mapper algorithm is a popular tool from topological data analysis fo...
Applying machine learning techniques to graph drawing has become an emer...
This paper addresses the importance of full-image supervision for monocu...
Vector field design on surfaces was originally motivated by applications...
The modified Paillier cryptosystem has become extremely popular and appl...
Morse complexes are gradient-based topological descriptors with close
co...
Deep neural networks such as GoogLeNet and ResNet have achieved superhum...
Mathematical concepts and tools have shaped the field of visualization i...
We study the probabilistic convergence between the mapper graph and the ...
Physical phenomena in science and engineering are frequently modeled usi...
Merge trees are a type of graph-based topological summary that tracks th...
This short note establishes explicit and broadly applicable relationship...
Metric graphs are meaningful objects for modeling complex structures tha...
Given a set of data points sampled from some underlying space, there are...
Topological data analysis and its main method, persistent homology, prov...
Dimensionality reduction is an integral part of data visualization. It i...
Inspired by the works of Forman on discrete Morse theory, which is a
com...
In this paper, we investigate a sheaf-theoretic interpretation of
strati...
We study Vietoris-Rips and Cech complexes of metric wedge sums and metri...