A novel feature learning framework for high-dimensional data classification

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-020-01188-2 ◽

2020 ◽

Author(s):

Yanxia Li ◽

Yi Chai ◽

Hongpeng Yin ◽

Bo Chen

Keyword(s):

High Dimensional Data ◽

Feature Learning ◽

Data Classification ◽

High Dimensional ◽

Learning Framework

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A novel dimension reduction and dictionary learning framework for high-dimensional data classification

Pattern Recognition ◽

10.1016/j.patcog.2020.107793 ◽

2021 ◽

Vol 112 ◽

pp. 107793

Author(s):

Yanxia Li ◽

Yi Chai ◽

Han Zhou ◽

Hongpeng Yin

Keyword(s):

Dimension Reduction ◽

Dictionary Learning ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Learning Framework

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ResNet Autoencoders for Unsupervised Feature Learning From High-Dimensional Data: Deep Models Resistant to Performance Degradation

IEEE Access ◽

10.1109/access.2021.3064819 ◽

2021 ◽

Vol 9 ◽

pp. 40511-40520

Author(s):

Chathurika S. Wickramasinghe ◽

Daniel L. Marino ◽

Milos Manic

Keyword(s):

High Dimensional Data ◽

Feature Learning ◽

Performance Degradation ◽

High Dimensional ◽

Unsupervised Feature Learning

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A Hybrid Feature Selection Method Based on Symmetrical Uncertainty and Support Vector Machine for High-Dimensional Data Classification

Intelligent Information and Database Systems - Lecture Notes in Computer Science ◽

10.1007/978-3-319-54472-4_67 ◽

2017 ◽

pp. 721-727 ◽

Author(s):

Yongjun Piao ◽

Keun Ho Ryu

Keyword(s):

Support Vector Machine ◽

Feature Selection ◽

High Dimensional Data ◽

Feature Selection Method ◽

Data Classification ◽

Selection Method ◽

High Dimensional ◽

Support Vector ◽

Symmetrical Uncertainty

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A modular eigen subspace scheme for high-dimensional data classification

Future Generation Computer Systems ◽

10.1016/j.future.2003.11.003 ◽

2004 ◽

Vol 20 (7) ◽

pp. 1131-1143 ◽

Author(s):

Yang-Lang Chang ◽

Chin-Chuan Han ◽

Fan-Di Jou ◽

Kuo-Chin Fan ◽

K.S. Chen ◽

...

Keyword(s):

High Dimensional Data ◽

Data Classification ◽

High Dimensional

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High dimensional data classification and feature selection using support vector machines

European Journal of Operational Research ◽

10.1016/j.ejor.2017.08.040 ◽

2018 ◽

Vol 265 (3) ◽

pp. 993-1004 ◽

Author(s):

Bissan Ghaddar ◽

Joe Naoum-Sawaya

Keyword(s):

Feature Selection ◽

Support Vector Machines ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Support Vector ◽

Vector Machines

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Automated feature weighting in naive bayes for high-dimensional data classification

Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12 ◽

10.1145/2396761.2398426 ◽

2012 ◽

Author(s):

Lifei Chen ◽

Shengrui Wang

Keyword(s):

Naive Bayes ◽

High Dimensional Data ◽

Data Classification ◽

Naïve Bayes ◽

Feature Weighting ◽

High Dimensional

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An efficient random forests algorithm for high dimensional data classification

Advances in Data Analysis and Classification ◽

10.1007/s11634-018-0318-1 ◽

2018 ◽

Vol 12 (4) ◽

pp. 953-972 ◽

Author(s):

Qiang Wang ◽

Thanh-Tung Nguyen ◽

Joshua Z. Huang ◽

Thuy Thi Nguyen

Keyword(s):

Random Forests ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional

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A depth-based nearest neighbor algorithm for high-dimensional data classification

TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES ◽

10.3906/elk-1807-163 ◽

2019 ◽

Vol 27 (6) ◽

pp. 4082-4101

Author(s):

Sandhya HARIKUMAR ◽

Akhil ARAVINDAKSHAN SAVITHRI ◽

Ramachandra KAIMAL

Keyword(s):

Nearest Neighbor ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Nearest Neighbor Algorithm

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Monte Carlo subspace method: An incremental approach to high-dimensional data classification

2008 19th International Conference on Pattern Recognition ◽

10.1109/icpr.2008.4761129 ◽

2008 ◽

Author(s):

Tomoya Sakai

Keyword(s):

Monte Carlo ◽

High Dimensional Data ◽

Data Classification ◽

High Dimensional ◽

Subspace Method ◽

Incremental Approach

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Privacy preserving processing of high dimensional data classification based on sample selection and Singular Value Decomposition

2013 International Conference on Control, Automation, Robotics and Embedded Systems (CARE) ◽

10.1109/care.2013.6733775 ◽

2013 ◽

Author(s):

Priyank Jain ◽

Pratibha Tapashetti ◽

A.S. Umesh ◽

Sweta Sharma

Keyword(s):

Singular Value Decomposition ◽

Sample Selection ◽

High Dimensional Data ◽

Data Classification ◽

Privacy Preserving ◽

Singular Value ◽

High Dimensional ◽

Value Decomposition

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