Feature Selection for Image Classification Based on a New Ranking Criterion

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Journal of Computer and Communications

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"Feature Selection for Image Classification Based on a New Ranking Criterion"
written by Xuan Zhou, Jiajun Wang,
published by Journal of Computer and Communications, Vol.3 No.3, 2015

has been cited by the following article(s):

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[34]	Feature Extraction Techniques for Aggressive and Non-Aggressive Metabolic Conditions of Brain
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[35]	Automatic Classification of Idiopathic Parkinsonian Disease and Progressive Supranuclear Palsy using Multi-Spectral MRI Datasets: A Machine Learning …
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[36]	On Selecting Features for Binary Classification in Microarray Data Analyses
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[37]	Feature selection for spatially enhanced LBP: application to face recognition
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[5]	A new feature selection approach with binary exponential henry gas solubility optimization and hybrid data transformation methods MethodsX, 2024 DOI:10.1016/j.mex.2024.102770

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[14]	Input Data Characterization Using Machine Learning and Deep Learning IOP Conference Series: Materials Science and Engineering, 2021 DOI:10.1088/1757-899X/1022/1/012012

[15]	Predicting Student Performance Using Feature Selection Algorithms for Deep Learning Models 2021 XVI Latin American Conference on Learning Technologies (LACLO), 2021 DOI:10.1109/LACLO54177.2021.00009

[16]	Research on Complex Classification Algorithm of Breast Cancer Chip Based on SVM-RFE Gene Feature Screening Complexity, 2020 DOI:10.1155/2020/1342874

[17]	Human Activity Recognition for Ambient Assisted Living 2019 International Conference on Vision Towards Emerging Trends in Communication and Networking (ViTECoN), 2019 DOI:10.1109/ViTECoN.2019.8899701

[18]	Microelectronics, Electromagnetics and Telecommunications Lecture Notes in Electrical Engineering, 2019 DOI:10.1007/978-981-13-1906-8_37

[19]	A clustering‐based feature selection framework for handwritten Indic script classification Expert Systems, 2019 DOI:10.1111/exsy.12459

[20]	A clustering‐based feature selection framework for handwritten Indic script classification Expert Systems, 2019 DOI:10.1111/exsy.12459

[21]	Grid-Based Crime Prediction Using Geographical Features ISPRS International Journal of Geo-Information, 2018 DOI:10.3390/ijgi7080298

[22]	An Optimal Multi-Level Backward Feature Subset Selection for Object Recognition IETE Journal of Research, 2018 DOI:10.1080/03772063.2018.1436470

[23]	Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features International Journal of Neural Systems, 2018 DOI:10.1142/S012906571850003X

[24]	A review of accuracy assessment for object-based image analysis: From per-pixel to per-polygon approaches ISPRS Journal of Photogrammetry and Remote Sensing, 2018 DOI:10.1016/j.isprsjprs.2018.04.002

[25]	Grid-Based Crime Prediction Using Geographical Features ISPRS International Journal of Geo-Information, 2018 DOI:10.3390/ijgi7080298

[26]	On Selecting Features for Binary Classification in Microarray Data Analyses Proceedings of the 9th International Conference on Machine Learning and Computing - ICMLC 2017, 2017 DOI:10.1145/3055635.3056644

[27]	Automatic Variable Length Key Generation from Images and CRT 2017 IEEE 7th International Advance Computing Conference (IACC), 2017 DOI:10.1109/IACC.2017.0148

[28]	Instances selection algorithm by ensemble margin Journal of Experimental & Theoretical Artificial Intelligence, 2017 DOI:10.1080/0952813X.2017.1409283

[29]	Feature selection for spatially enhanced LBP: application to face recognition International Journal of Data Science and Analytics, 2017 DOI:10.1007/s41060-017-0083-9

[30]	On Selecting Features for Binary Classification in Microarray Data Analyses Proceedings of the 9th International Conference on Machine Learning and Computing, 2017 DOI:10.1145/3055635.3056644

[31]	On Selecting Features for Binary Classification in Microarray Data Analyses Proceedings of the 9th International Conference on Machine Learning and Computing, 2017 DOI:10.1145/3055635.3056644

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