Understanding the effect of window length and overlap for assessing sEMG in dynamic fatiguing contractions: a non-linear dimensionality reduction and clustering

Window Length ◽

Non Linear ◽

Linear Dimensionality Reduction ◽

Fatiguing Contractions

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation

10.1109/icassp.2014.6854907 ◽

2014 ◽

Cited By ~ 1

Author(s):

Jayaraman J. Thiagarajan ◽

Peer-Timo Bremer ◽

Karthikeyan Natesan Ramamurthy

Keyword(s):

Dimension Estimation ◽

Multiple Kernel ◽

Non Linear ◽

Data visualization through non linear dimensionality reduction using feature based Ricci flow embedding

Multimedia Tools and Applications ◽

10.1007/s11042-021-11479-7 ◽

2022 ◽

Author(s):

Adarsh Prasad Behera ◽

Jagriti Singh ◽

Shekhar Verma ◽

Manish Kumar

Keyword(s):

Data Visualization ◽

Ricci Flow ◽

Non Linear ◽

Feature Based ◽

Lecture Notes in Computer Science - Advanced Intelligent Computing Theories and Applications ◽

Performance Comparison of Tumor Classification Based on Linear and Non-linear Dimensionality Reduction Methods

10.1007/978-3-642-14922-1_37 ◽

2010 ◽

pp. 291-300 ◽

Cited By ~ 7

Author(s):

Shu-Lin Wang ◽

Hong-Zhu You ◽

Ying-Ke Lei ◽

Xue-Ling Li

Keyword(s):

Performance Comparison ◽

Tumor Classification ◽

Non Linear ◽

Reduction Methods ◽

Modelling Architectural Visual Experience Using Non-linear Dimensionality Reduction

Progress in Artificial Life - Lecture Notes in Computer Science ◽

10.1007/978-3-540-76931-6_8 ◽

2007 ◽

pp. 84-95 ◽

Cited By ~ 1

Author(s):

Stephan K. Chalup ◽

Riley Clement ◽

Chris Tucker ◽

Michael J. Ostwald

Keyword(s):

Visual Experience ◽

Non Linear ◽

Image classification using manifold learning based non-linear dimensionality reduction

2018 26th Signal Processing and Communications Applications Conference (SIU) ◽

10.1109/siu.2018.8404441 ◽

2018 ◽

Author(s):

Ainuddin Faaeq ◽

Huseyin Guruler ◽

Musa Peker

Keyword(s):

Image Classification ◽

Manifold Learning ◽

Non Linear ◽

Non-linear Dimensionality Reduction by Locally Linear Isomaps

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30499-9_161 ◽

2004 ◽

pp. 1038-1043 ◽

Cited By ~ 26

Author(s):

Ashutosh Saxena ◽

Abhinav Gupta ◽

Amitabha Mukerjee

Keyword(s):

Non Linear ◽

Linear Dimensionality Reduction ◽

Locally Linear

Robust non-linear dimensionality reduction using successive 1-dimensional Laplacian Eigenmaps

Proceedings of the 24th international conference on Machine learning - ICML '07 ◽

10.1145/1273496.1273532 ◽

2007 ◽

Cited By ~ 19

Author(s):

Samuel Gerber ◽

Tolga Tasdizen ◽

Ross Whitaker

Keyword(s):

Laplacian Eigenmaps ◽

Non Linear ◽

Local non‐linear alignment for non‐linear dimensionality reduction

IET Computer Vision ◽

10.1049/iet-cvi.2015.0441 ◽

2017 ◽

Vol 11 (5) ◽

pp. 331-341 ◽

Cited By ~ 2

Author(s):

Guo Niu ◽

Zhengming Ma

Keyword(s):

Non Linear ◽

Linear Dimensionality Reduction ◽

Linear Alignment

Non-linear dimensionality reduction with input distances preservation

9th International Conference on Artificial Neural Networks: ICANN '99 ◽

10.1049/cp:19991230 ◽

1999 ◽

Author(s):

L. Garrido

Keyword(s):

Non Linear ◽

Non-linear dimensionality reduction of signaling networks

BMC Systems Biology ◽

10.1186/1752-0509-1-27 ◽

2007 ◽

Vol 1 (1) ◽

Cited By ~ 12

Author(s):

Sergii Ivakhno ◽

J Douglas Armstrong

Keyword(s):

Signaling Networks ◽

Non Linear ◽