Face recognition: Comparative study between linear and non linear dimensionality reduction methods

Non Linear ◽

Reduction Methods ◽

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 ◽

Comparative study of feature extraction algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods

Eleventh International Conference on Machine Vision (ICMV 2018) ◽

10.1117/12.2523098 ◽

2019 ◽

Author(s):

Egor Dmitriev ◽

Vladislav Myasnikov

Keyword(s):

Feature Extraction ◽

Comparative Study ◽

Digital Images ◽

Gradient Fields ◽

Reduction Methods ◽

Linear Dimensionality Reduction ◽

Complex Valued

Multispectral face recognition using non linear dimensionality reduction

10.1117/12.818275 ◽

2009 ◽

Cited By ~ 5

Author(s):

Moulay A. Akhloufi ◽

Abdelhakim Bendada ◽

Jean-Christophe Batsale

Keyword(s):

Face Recognition ◽

Non Linear ◽

Comparative study of description algorithms for complex-valued gradient fields of digital images using linear dimensionality reduction methods

Computer Optics ◽

10.18287/2412-6179-2018-42-5-822-828 ◽

2018 ◽

Vol 42 (5) ◽

pp. 822-828 ◽

Cited By ~ 4

Author(s):

E.A. Dmitriev ◽

◽

V.V. Myasnikov ◽

◽

Keyword(s):

Comparative Study ◽

Digital Images ◽

Gradient Fields ◽

Reduction Methods ◽

Linear Dimensionality Reduction ◽

Complex Valued

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 ◽

Comparative Study of Dimensionality Reduction Methods Using Reliable Features for Multiple Datasets Obtained by rs-fMRI in ADHD Prediction

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-57351-9_13 ◽

2017 ◽

pp. 97-102

Author(s):

Rodolfo Garcia ◽

Emerson Cabrera Paraiso ◽

Julio Cesar Nievola

Keyword(s):

Comparative Study ◽

Multiple Datasets ◽

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