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  3. 1905.02845
  4. Cited By
Feature Selection and Feature Extraction in Pattern Analysis: A
  Literature Review

Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review

7 May 2019
Benyamin Ghojogh
Maria N. Samad
Sayema Asif Mashhadi
Tania Kapoor
Wahab Ali
Fakhri Karray
Mark Crowley
ArXiv (abs)PDFHTML

Papers citing "Feature Selection and Feature Extraction in Pattern Analysis: A Literature Review"

22 / 22 papers shown
Title
Sample-Efficient Behavior Cloning Using General Domain Knowledge
Sample-Efficient Behavior Cloning Using General Domain KnowledgeInternational Joint Conference on Artificial Intelligence (IJCAI), 2025
Feiyu Zhu
Jean Oh
Reid Simmons
79
0
0
27 Jan 2025
Enhancing Classification Performance via Reinforcement Learning for
  Feature Selection
Enhancing Classification Performance via Reinforcement Learning for Feature Selection
Younes Ghazagh Jahed
Seyyed Ali Sadat Tavana
146
3
0
09 Mar 2024
Semantic-Preserving Feature Partitioning for Multi-View Ensemble
  Learning
Semantic-Preserving Feature Partitioning for Multi-View Ensemble LearningInformation Fusion (Inf. Fusion), 2024
M. S. Khorshidi
Navid Yazdanjue
Hassan Gharoun
D. Yazdani
M. Nikoo
Fang Chen
Amir H. Gandomi
160
2
0
11 Jan 2024
Transformer Multivariate Forecasting: Less is More?
Transformer Multivariate Forecasting: Less is More?
Jingjing Xu
Caesar Wu
Yuan-Fang Li
Pascal Bouvry
AI4TS
199
5
0
30 Dec 2023
A Principled Hierarchical Deep Learning Approach to Joint Image
  Compression and Classification
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
Siyu Qi
Achintha Wijesinghe
Lahiru D. Chamain
Zhi Ding
92
0
0
30 Oct 2023
Model-based feature selection for neural networks: A mixed-integer
  programming approach
Model-based feature selection for neural networks: A mixed-integer programming approachLearning and Intelligent Optimization (LION), 2023
Shudian Zhao
Calvin Tsay
Jan Kronqvist
199
7
0
20 Feb 2023
A Review of the Trends and Challenges in Adopting Natural Language
  Processing Methods for Education Feedback Analysis
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback AnalysisIEEE Access (IEEE Access), 2023
T. Shaik
Xiaohui Tao
Jian Wang
Christopher Dann
Jacquie McDonald
P. Redmond
Linda Galligan
101
157
0
20 Jan 2023
Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a
  Single Image
Deep-MDS Framework for Recovering the 3D Shape of 2D Landmarks from a Single ImageSocial Science Research Network (SSRN), 2022
S. Kamyab
Z. Azimifar
3DV
92
0
0
27 Oct 2022
DPDR: A novel machine learning method for the Decision Process for
  Dimensionality Reduction
DPDR: A novel machine learning method for the Decision Process for Dimensionality ReductionSN Computer Science (SN Comput. Sci.), 2022
J. Dessureault
Daniel Massicotte
67
5
0
17 Jun 2022
Unified Framework for Spectral Dimensionality Reduction, Maximum
  Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial
  and Survey
Unified Framework for Spectral Dimensionality Reduction, Maximum Variance Unfolding, and Kernel Learning By Semidefinite Programming: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
143
4
0
29 Jun 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions,
  Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
155
53
0
15 Jun 2021
Laplacian-Based Dimensionality Reduction Including Spectral Clustering,
  Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and
  Diffusion Map: Tutorial and Survey
Laplacian-Based Dimensionality Reduction Including Spectral Clustering, Laplacian Eigenmap, Locality Preserving Projection, Graph Embedding, and Diffusion Map: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
198
12
0
03 Jun 2021
Hierarchical Subspace Learning for Dimensionality Reduction to Improve
  Classification Accuracy in Large Data Sets
Hierarchical Subspace Learning for Dimensionality Reduction to Improve Classification Accuracy in Large Data SetsIEEE International Symposium on Multiple-Valued Logic (ISMVL), 2021
Parisa Abdolrahim Poorheravi
Vincent C. Gaudet
94
0
0
25 May 2021
Generative Locally Linear Embedding
Generative Locally Linear Embedding
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
109
4
0
04 Apr 2021
Locally Linear Embedding and its Variants: Tutorial and Survey
Locally Linear Embedding and its Variants: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
168
29
0
22 Nov 2020
Sampling Algorithms, from Survey Sampling to Monte Carlo Methods:
  Tutorial and Literature Review
Sampling Algorithms, from Survey Sampling to Monte Carlo Methods: Tutorial and Literature Review
Benyamin Ghojogh
Hadi Nekoei
Aydin Ghojogh
Fakhri Karray
Mark Crowley
137
17
0
02 Nov 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions:
  Tutorial and Survey
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
BDL
176
9
0
22 Sep 2020
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and
  Survey
Multidimensional Scaling, Sammon Mapping, and Isomap: Tutorial and Survey
Benyamin Ghojogh
A. Ghodsi
Fakhri Karray
Mark Crowley
130
38
0
17 Sep 2020
Roweis Discriminant Analysis: A Generalized Subspace Learning Method
Roweis Discriminant Analysis: A Generalized Subspace Learning Method
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
CML
117
6
0
11 Oct 2019
Quantized Fisher Discriminant Analysis
Quantized Fisher Discriminant Analysis
Benyamin Ghojogh
Ali Saheb Pasand
Fakhri Karray
Mark Crowley
84
0
0
06 Sep 2019
Fisher and Kernel Fisher Discriminant Analysis: Tutorial
Fisher and Kernel Fisher Discriminant Analysis: Tutorial
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
190
42
0
22 Jun 2019
Unsupervised and Supervised Principal Component Analysis: Tutorial
Unsupervised and Supervised Principal Component Analysis: Tutorial
Benyamin Ghojogh
Mark Crowley
148
35
0
01 Jun 2019
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