ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.06383
  4. Cited By
A Local Similarity-Preserving Framework for Nonlinear Dimensionality
  Reduction with Neural Networks

A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks

10 March 2021
Xiang Wang
Xiaoyong Li
Junxing Zhu
Zichen Xu
Kaijun Ren
Weiming Zhang
Xinwang Liu
Kui Yu
ArXivPDFHTML

Papers citing "A Local Similarity-Preserving Framework for Nonlinear Dimensionality Reduction with Neural Networks"

16 / 16 papers shown
Title
Structure Learning with Similarity Preserving
Structure Learning with Similarity Preserving
Zhao Kang
Xiao Lu
Yiwei Lu
Chong Peng
Zenglin Xu
72
43
0
03 Dec 2019
An Incremental Dimensionality Reduction Method for Visualizing Streaming
  Multidimensional Data
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Takanori Fujiwara
Jia-Kai Chou
Shilpika Shilpika
Panpan Xu
Liu Ren
K. Ma
19
58
0
10 May 2019
Local Deep-Feature Alignment for Unsupervised Dimension Reduction
Local Deep-Feature Alignment for Unsupervised Dimension Reduction
Jian Zhang
Jun-chen Yu
Dacheng Tao
10
198
0
22 Apr 2019
Dimensionality Reduction of Hyperspectral Imagery Based on
  Spatial-spectral Manifold Learning
Dimensionality Reduction of Hyperspectral Imagery Based on Spatial-spectral Manifold Learning
Hong Huang
Guangyao Shi
Haibo He
Yule Duan
Fulin Luo
11
119
0
22 Dec 2018
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph
  Representation Learning
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal
Sujit Rokka Chhetri
A. Canedo
41
399
0
07 Sep 2018
On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding
On Nonlinear Dimensionality Reduction, Linear Smoothing and Autoencoding
Daniel Ting
Michael I. Jordan
9
8
0
06 Mar 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
69
9,312
0
09 Feb 2018
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNN
AI4TS
43
618
0
04 Dec 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
69
1,786
0
22 Sep 2017
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAI
SSL
VLM
172
9,924
0
15 Jul 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
101
10,800
0
03 Jul 2016
Skip-Thought Vectors
Skip-Thought Vectors
Ryan Kiros
Yukun Zhu
Ruslan Salakhutdinov
R. Zemel
Antonio Torralba
R. Urtasun
Sanja Fidler
SSL
65
2,405
0
22 Jun 2015
LINE: Large-scale Information Network Embedding
LINE: Large-scale Information Network Embedding
Jian Tang
Meng Qu
Mingzhe Wang
Ming Zhang
Jun Yan
Qiaozhu Mei
GNN
65
5,315
0
12 Mar 2015
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
166
9,735
0
26 Mar 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
171
33,445
0
16 Oct 2013
A Tutorial on Spectral Clustering
A Tutorial on Spectral Clustering
U. V. Luxburg
101
10,497
0
01 Nov 2007
1