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 ◽

Dimensionality Reduction ◽

Digital Images ◽

Gradient Fields ◽

Reduction Methods ◽

Linear Dimensionality Reduction ◽

Download Full-text

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 ◽

Author(s):

E.A. Dmitriev ◽

◽

V.V. Myasnikov ◽

◽

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Digital Images ◽

Gradient Fields ◽

Reduction Methods ◽

Linear Dimensionality Reduction ◽

Download Full-text

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

2015 International Conference on Electrical and Information Technologies (ICEIT) ◽

10.1109/eitech.2015.7162932 ◽

2015 ◽

Author(s):

Bouzalmat Anissa ◽

Belghini Naouar ◽

Zarghili Arsalane ◽

Kharroubi Jamal

Keyword(s):

Face Recognition ◽

Comparative Study ◽

Dimensionality Reduction ◽

Reduction Methods ◽

Linear Dimensionality Reduction

Download Full-text

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 ◽

Dimensionality Reduction ◽

Multiple Datasets ◽

Reduction Methods

Download Full-text

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

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

10.1007/978-3-642-14922-1_37 ◽

2010 ◽

pp. 291-300 ◽

Author(s):

Shu-Lin Wang ◽

Hong-Zhu You ◽

Ying-Ke Lei ◽

Xue-Ling Li

Keyword(s):

Dimensionality Reduction ◽

Performance Comparison ◽

Tumor Classification ◽

Reduction Methods ◽

Linear Dimensionality Reduction

Download Full-text

Bi-level dimensionality reduction methods using feature selection and feature extraction

International Journal of Computer Applications ◽

10.5120/800-1137 ◽

2010 ◽

Vol 4 (2) ◽

pp. 33-38 ◽

Author(s):

Mr. Veerabhadrappa ◽

Lalitha Rangarajan

Keyword(s):

Feature Extraction ◽

Feature Selection ◽

Dimensionality Reduction ◽

Reduction Methods

Download Full-text

Comparison of linear dimensionality reduction methods in image annotation

2015 Seventh International Conference on Advanced Computational Intelligence (ICACI) ◽

10.1109/icaci.2015.7184729 ◽

2015 ◽

Author(s):

Shiqiang Li ◽

Hussain Dawood ◽

Ping Guo

Keyword(s):

Dimensionality Reduction ◽

Image Annotation ◽

Reduction Methods ◽

Linear Dimensionality Reduction

Download Full-text

Multi-Level Dimensionality Reduction Methods Using Feature Selection and Feature Extraction

International Journal of Artificial Intelligence & Applications ◽

10.5121/ijaia.2010.1405 ◽

2010 ◽

Vol 1 (4) ◽

pp. 54-68 ◽

Author(s):

Veerabhadrappa ◽

Rangarajan Lalitha

Keyword(s):

Feature Extraction ◽

Feature Selection ◽

Dimensionality Reduction ◽

Reduction Methods ◽

Download Full-text

Comparative study of different dimensionality reduction methods in hyperspectral image classification

Journal of Physics Conference Series ◽

10.1088/1742-6596/2024/1/012009 ◽

2021 ◽

Vol 2024 (1) ◽

pp. 012009

Author(s):

Lei Kang ◽

Xiaoqing Hu ◽

Chengcheng Zhong ◽

Kai Zhang ◽

Yanan Jiang

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Reduction Methods

Download Full-text

A Comparative Study of Different Dimensionality Reduction Methods with Naïve Bayes Classifier for Mapping Customer Requirements to Product Configurations

International Journal of Database Theory and Application ◽

10.14257/ijdta.2017.10.5.05 ◽

2017 ◽

Vol 10 (5) ◽

pp. 47-58

Author(s):

Yao Jiao ◽

Yu Yang

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Naive Bayes ◽

Naïve Bayes ◽

Naive Bayes Classifier ◽

Customer Requirements ◽

Bayes Classifier ◽

Naïve Bayes Classifier ◽

Reduction Methods

Download Full-text

A comparative study of dimensionality reduction methods for p-type based contour representations

2015 10th Computing Colombian Conference (10CCC) ◽

10.1109/columbiancc.2015.7333437 ◽

2015 ◽

Author(s):

Jorge Victorino ◽

Francisco Gomez

Keyword(s):

Comparative Study ◽

Dimensionality Reduction ◽

Reduction Methods ◽

Download Full-text