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A Statistical Recurrent Model on the Manifold of Symmetric Positive
  Definite Matrices

A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices

29 May 2018
Rudrasis Chakraborty
Chun-Hao Yang
Xingjian Zhen
Monami Banerjee
Derek B. Archer
David E Vaillancourt
Vikas Singh
B. Vemuri
ArXivPDFHTML

Papers citing "A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices"

6 / 6 papers shown
Title
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet
  Transform based on Helgason-Fourier Analysis
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis
Sho Sonoda
Isao Ishikawa
Masahiro Ikeda
19
15
0
03 Mar 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Deep Efficient Continuous Manifold Learning for Time Series Modeling
Seungwoo Jeong
Wonjun Ko
A. Mulyadi
Heung-Il Suk
AI4TS
26
8
0
03 Dec 2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric
  Positive Definite Matrices
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
F. López
Beatrice Pozzetti
Steve J. Trettel
Michael Strube
Anna Wienhard
28
17
0
26 Oct 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Flow-based Generative Models for Learning Manifold to Manifold Mappings
Xingjian Zhen
Rudrasis Chakraborty
Liu Yang
Vikas Singh
DRL
MedIm
21
9
0
18 Dec 2020
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in
  Automated Anatomical Labeling of Coronary Arteries
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries
Han Yang
Xingjian Zhen
Ying Chi
Lei Zhang
Xiansheng Hua
MedIm
9
43
0
19 Mar 2020
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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