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Feature Selection for High Dimensional Steganalysis
Digital-Forensics and Watermarking - Lecture Notes in Computer Science
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10.1007/978-3-319-31960-5_12
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2016
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pp. 134-144
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Cited By ~ 2
Author(s):
Yanping Tan
◽
Fangjun Huang
◽
Jiwu Huang
Keyword(s):
Feature Selection
◽
High Dimensional
◽
Selection For
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Cited By
References
Data-driven Feature Selection for Long Longitudinal Breadth and High Dimensional Dataset
Proceedings of the 2020 12th International Conference on Machine Learning and Computing
◽
10.1145/3383972.3383992
◽
2020
◽
Author(s):
Ji-Han Liu
◽
Cheng-Tse Wu
◽
Ta-Wei Chu
◽
and Jyh-Shing Roger Jang
Keyword(s):
Feature Selection
◽
Data Driven
◽
High Dimensional
◽
Selection For
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Incorporating genetic algorithm into rough feature selection for high dimensional biomedical data
2011 IEEE International Symposium on IT in Medicine and Education
◽
10.1109/itime.2011.6132040
◽
2011
◽
Cited By ~ 1
Author(s):
Vinh Quoc Dang
◽
Chiou-Peng Lam
◽
Chang Su Lee
Keyword(s):
Genetic Algorithm
◽
Feature Selection
◽
High Dimensional
◽
Biomedical Data
◽
Selection For
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Feature selection for high-dimensional classification using a competitive swarm optimizer
Soft Computing
◽
10.1007/s00500-016-2385-6
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2016
◽
Vol 22
(3)
◽
pp. 811-822
◽
Cited By ~ 96
Author(s):
Shenkai Gu
◽
Ran Cheng
◽
Yaochu Jin
Keyword(s):
Feature Selection
◽
High Dimensional
◽
Dimensional Classification
◽
Selection For
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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
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10.2991/iccsee.2013.583
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2013
◽
Author(s):
Lincheng Jiang
◽
Wentang Tan
◽
Zhenwen Wang
◽
Fengjing Yin
◽
Bin Ge
◽
...
Keyword(s):
Feature Selection
◽
Data Analysis
◽
Matrix Factorization
◽
Nonnegative Matrix Factorization
◽
High Dimensional Data
◽
Nonnegative Matrix
◽
High Dimensional
◽
High Dimensional Data Analysis
◽
Selection For
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Dynamic Feature Selection for Clustering High Dimensional Data Streams
IEEE Access
◽
10.1109/access.2019.2932308
◽
2019
◽
Vol 7
◽
pp. 127128-127140
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Cited By ~ 4
Author(s):
Conor Fahy
◽
Shengxiang Yang
Keyword(s):
Feature Selection
◽
Data Streams
◽
High Dimensional Data
◽
High Dimensional
◽
Dynamic Feature
◽
Selection For
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Feature Selection for High-Dimensional Data — A Pearson Redundancy Based Filter
Advances in Soft Computing - Computer Recognition Systems 2
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10.1007/978-3-540-75175-5_30
◽
2007
◽
pp. 242-249
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Cited By ~ 44
Author(s):
Jacek Biesiada
◽
Wlodzisław Duch
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
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Feature Selection for High Dimensional Data Using Weighted K-Nearest Neighbors and Genetic Algorithm
IEEE Access
◽
10.1109/access.2020.3012768
◽
2020
◽
Vol 8
◽
pp. 139512-139528
Author(s):
Shuangjie Li
◽
Kaixiang Zhang
◽
Qianru Chen
◽
Shuqin Wang
◽
Shaoqiang Zhang
Keyword(s):
Genetic Algorithm
◽
Feature Selection
◽
High Dimensional Data
◽
Nearest Neighbors
◽
High Dimensional
◽
K Nearest Neighbors
◽
Selection For
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Hellinger distance-based stable sparse feature selection for high-dimensional class-imbalanced data
BMC Bioinformatics
◽
10.1186/s12859-020-3411-3
◽
2020
◽
Vol 21
(1)
◽
Cited By ~ 2
Author(s):
Guang-Hui Fu
◽
Yuan-Jiao Wu
◽
Min-Jie Zong
◽
Jianxin Pan
Keyword(s):
Feature Selection
◽
Imbalanced Data
◽
Hellinger Distance
◽
High Dimensional
◽
Selection For
◽
Sparse Feature Selection
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High-dimensional feature selection for genomic datasets
Knowledge-Based Systems
◽
10.1016/j.knosys.2020.106370
◽
2020
◽
Vol 206
◽
pp. 106370
◽
Cited By ~ 1
Author(s):
Majid Afshar
◽
Hamid Usefi
Keyword(s):
Feature Selection
◽
High Dimensional
◽
Selection For
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Neighborhood Component Feature Selection for High-Dimensional Data
Journal of Computers
◽
10.4304/jcp.7.1.161-168
◽
2012
◽
Vol 7
(1)
◽
Cited By ~ 93
Author(s):
Wei Yang
◽
Kuanquan Wang
◽
Wangmeng Zuo
Keyword(s):
Feature Selection
◽
High Dimensional Data
◽
High Dimensional
◽
Selection For
◽
Component Feature
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