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Geometric Mean Metric Learning

Geometric Mean Metric Learning

18 July 2016
P. Zadeh
Reshad Hosseini
S. Sra
ArXivPDFHTML

Papers citing "Geometric Mean Metric Learning"

16 / 16 papers shown
Title
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Semantic-Enhanced Relational Metric Learning for Recommender Systems
Mingming Li
Fuqing Zhu
Feng Yuan
Songlin Hu
48
0
0
07 Jun 2024
Multifidelity Covariance Estimation via Regression on the Manifold of
  Symmetric Positive Definite Matrices
Multifidelity Covariance Estimation via Regression on the Manifold of Symmetric Positive Definite Matrices
A. Maurais
Terrence Alsup
Benjamin Peherstorfer
Youssef Marzouk
38
3
0
23 Jul 2023
Differential geometry with extreme eigenvalues in the positive
  semidefinite cone
Differential geometry with extreme eigenvalues in the positive semidefinite cone
Cyrus Mostajeran
Nathael Da Costa
Graham W. Van Goffrier
R. Sepulchre
27
4
0
14 Apr 2023
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
Multi-Fidelity Covariance Estimation in the Log-Euclidean Geometry
A. Maurais
Terrence Alsup
Benjamin Peherstorfer
Youssef Marzouk
28
7
0
31 Jan 2023
Principal Component Classification
Principal Component Classification
Rozenn Dahyot
24
1
0
23 Oct 2022
Robust Geometric Metric Learning
Robust Geometric Metric Learning
Antoine Collas
A. Breloy
G. Ginolhac
Chengfang Ren
J. Ovarlez
38
3
0
23 Feb 2022
Adaptive neighborhood Metric learning
Adaptive neighborhood Metric learning
Kun Song
Junwei Han
Gong Cheng
Jiwen Lu
Feiping Nie
17
27
0
20 Jan 2022
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression
  Models in Neuroimaging
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in Neuroimaging
Ali Hashemi
Yijing Gao
Chang Cai
Sanjay Ghosh
Klaus-Robert Muller
S. Nagarajan
Stefan Haufe
32
7
0
02 Nov 2021
A Probabilistic approach for Learning Embeddings without Supervision
A Probabilistic approach for Learning Embeddings without Supervision
U. Dutta
Mehrtash Harandi
C. Sekhar
SSL
41
0
0
17 Dec 2019
Nearest-Neighbour-Induced Isolation Similarity and its Impact on
  Density-Based Clustering
Nearest-Neighbour-Induced Isolation Similarity and its Impact on Density-Based Clustering
Xiaoyu Qin
Kai Ming Ting
Ye Zhu
Vincent C. S. Lee
22
37
0
30 Jun 2019
McTorch, a manifold optimization library for deep learning
McTorch, a manifold optimization library for deep learning
Mayank Meghwanshi
Pratik Jawanpuria
Anoop Kunchukuttan
Hiroyuki Kasai
Bamdev Mishra
AI4CE
12
41
0
03 Oct 2018
A Unified Framework for Domain Adaptation using Metric Learning on
  Manifolds
A Unified Framework for Domain Adaptation using Metric Learning on Manifolds
Sridhar Mahadevan
Bamdev Mishra
Shalini Ghosh
6
26
0
28 Apr 2018
Deep Embedding Kernel
Deep Embedding Kernel
Linh Le
Ying Xie
29
10
0
16 Apr 2018
Large Scale Local Online Similarity/Distance Learning Framework based on
  Passive/Aggressive
Large Scale Local Online Similarity/Distance Learning Framework based on Passive/Aggressive
Baida Hamdan
Davood Zabihzadeh
R. Monsefi
29
1
0
05 Apr 2018
Learning Local Metrics and Influential Regions for Classification
Learning Local Metrics and Influential Regions for Classification
Mingzhi Dong
Yujiang Wang
Xiaochen Yang
Jing-Hao Xue
31
21
0
09 Feb 2018
Adversarial Metric Learning
Adversarial Metric Learning
Shuo Chen
Chen Gong
Jian Yang
Xiang Li
Yang Wei
Jun Yu Li
21
44
0
09 Feb 2018
1