Combinatorial Methods of Feature Selection for Cell Image Classification

2017 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) ◽

10.1109/qrs-c.2017.18 ◽

2017 ◽

Author(s):

Sergiy Vilkomir ◽

Jiabin Wang ◽

Nam Le Thai ◽

Junhua Ding

Keyword(s):

Feature Selection ◽

Image Classification ◽

Selection For ◽

Combinatorial Methods

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Wavelet Feature Selection for Image Classification

IEEE Transactions on Image Processing ◽

10.1109/tip.2008.2001050 ◽

2008 ◽

Vol 17 (9) ◽

pp. 1709-1720 ◽

Author(s):

Ke Huang ◽

Selin Aviyente

Keyword(s):

Feature Selection ◽

Image Classification ◽

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Image Classification Using Convolutional Neural Network Based on Feature Selection for Edge Computing

10.23919/ccc52363.2021.9550477 ◽

2021 ◽

Author(s):

Pingchang Hao ◽

Liyong Zhang

Keyword(s):

Neural Network ◽

Feature Selection ◽

Convolutional Neural Network ◽

Image Classification ◽

Edge Computing ◽

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Perceptual Feature Selection for Semantic Image Classification

2006 International Conference on Image Processing ◽

10.1109/icip.2006.313130 ◽

2006 ◽

Author(s):

Dejan Depalov ◽

Thrasyvoulos N. Pappas ◽

Dongge Li ◽

Bhavan Gandhi

Keyword(s):

Feature Selection ◽

Image Classification ◽

Perceptual Feature ◽

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A subset-search and ranking based feature-selection for histology image classification using global and local quantification

2015 International Conference on Image Processing Theory, Tools and Applications (IPTA) ◽

10.1109/ipta.2015.7367154 ◽

2015 ◽

Author(s):

J. Coatelen ◽

A. Albouy-Kissi ◽

B. Albouy-Kissi ◽

J.P. Coton ◽

L. Maunier-Sifre ◽

...

Keyword(s):

Feature Selection ◽

Image Classification ◽

Selection For ◽

Global And Local ◽

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Quick Reduct-ACO based feature selection for TRUS prostate cancer image classification

International Conference on Pattern Recognition, Informatics and Medical Engineering (PRIME-2012) ◽

10.1109/icprime.2012.6208367 ◽

2012 ◽

Author(s):

R. Manavalan ◽

K. Thangavel

Keyword(s):

Prostate Cancer ◽

Feature Selection ◽

Image Classification ◽

Selection For ◽

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Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2016.2642479 ◽

2017 ◽

Vol 55 (4) ◽

pp. 2385-2398 ◽

Author(s):

Bharath Bhushan Damodaran ◽

Nicolas Courty ◽

Sebastien Lefevre

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Selection For ◽

Independence Criterion

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SVM-Based Feature Selection for Differential Space Fusion and Its Application to Diabetic Fundus Image Classification

IEEE Access ◽

10.1109/access.2019.2944899 ◽

2019 ◽

Vol 7 ◽

pp. 149493-149502 ◽

Author(s):

Weiping Ding

Keyword(s):

Feature Selection ◽

Image Classification ◽

Fundus Image ◽

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Feature Selection for Image Classification Based on Bacterial Colony Optimization

Lecture Notes in Computer Science - Advances in Swarm Intelligence ◽

10.1007/978-3-030-78811-7_40 ◽

2021 ◽

pp. 430-439

Author(s):

Hong Wang ◽

Zhuo Zhou ◽

Yixin Wang ◽

Xiaohui Yan

Keyword(s):

Feature Selection ◽

Image Classification ◽

Bacterial Colony ◽

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Ensemble CNN Based on Pixel-Pair and Random Feature Selection for Hyperspectral Image Classification with Small-Size Training Set

10.1109/igarss47720.2021.9555055 ◽

2021 ◽

Author(s):

Shuxian Dong ◽

Yinghui Quan ◽

Wei Feng ◽

Qiang Li ◽

Gabriel Dauphin ◽

...

Keyword(s):

Feature Selection ◽

Image Classification ◽

Hyperspectral Image ◽

Hyperspectral Image Classification ◽

Training Set ◽

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Flexible and Discriminative Non-linear Embedding with Feature Selection for Image Classification

2018 24th International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2018.8545088 ◽

2018 ◽

Author(s):

R. Zhu ◽

F. Dornaika ◽

Y. Ruichek

Keyword(s):

Feature Selection ◽

Image Classification ◽

Linear Embedding ◽

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