activity
20122023
most citedFast computation of von Neumann entropy for large-scale graphs via quadratic approximations

4 citations · 12 across the 12 of their papers we have counts for

collaborators
Showing 2018Show all

6 papers · 1 filter

cs.IT2018★ 4 cited

Fast computation of von Neumann entropy for large-scale graphs via quadratic approximations

Hayoung Choi, Jinglian He, Hang Hu +1

The von Neumann graph entropy (VNGE) can be used as a measure of graph complexity, which can be the measure of information divergence and distance between graphs. However, computin…

math.FA2018

Geometric Mean of Partial Positive Definite Matrices with Missing Entries

Hayoung Choi, Sejong Kim, Yuanming Shi

In this paper the geometric mean of partial positive definite matrices with missing entries is considered. The weighted geometric mean of two sets of positive matrices is defined,…

cs.LG2018

An algebraic-geometric approach for linear regression without correspondences

Manolis C. Tsakiris, Liangzu Peng, Aldo Conca +3

Linear regression without correspondences is the problem of performing a linear regression fit to a dataset for which the correspondences between the independent samples and the ob…

math.CO2018

Catalan-like numbers and Hausdorff moment sequences

Hayoung Choi, Yeong-Nan Yeh, Seonguk Yoo

In this paper we show that many well-known counting coefficients, including the Catalan numbers, the Motzkin numbers, the central binomial coefficients, the central Delannoy number…

cs.DM2018★ 2 cited

Comparing large-scale graphs based on quantum probability theory

Hayoung Choi, Hosoo Lee, Yifei Shen +1

In this paper, a new measurement to compare two large-scale graphs based on the theory of quantum probability is proposed. An explicit form for the spectral distribution of the cor…

math.GN2018

Structure for -Metric Spaces and Related Fixed Point Theorems

Hayoung Choi, Sejong Kim, Seung Yeop Yang

In this paper, we propose a generalized notion of a distance function, called a -metric. The -metric with degree is a distance of points, generalizing the ordinary…