Using class-based feature selection for the classification of hyperspectral data

International Journal of Remote Sensing ◽

10.1080/01431161.2010.486416 ◽

2011 ◽

Vol 32 (15) ◽

pp. 4311-4326 ◽

Author(s):

Yasser Maghsoudi ◽

Mohammad Javad Valadan Zoej ◽

Michael Collins

Keyword(s):

Feature Selection ◽

Hyperspectral Data ◽

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Feature Selection for Classification of Hyperspectral Data by SVM

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2009.2039484 ◽

2010 ◽

Vol 48 (5) ◽

pp. 2297-2307 ◽

Author(s):

Mahesh Pal ◽

Giles M Foody

Keyword(s):

Feature Selection ◽

Hyperspectral Data ◽

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Model and feature selection for the classification of dark field pollen images using the classifynder system

2017 International Conference on Image and Vision Computing New Zealand (IVCNZ) ◽

10.1109/ivcnz.2017.8402498 ◽

2017 ◽

Author(s):

Ben Pedersen ◽

Donald G. Bailey ◽

Robert M. Hodgson ◽

Katherine Holt ◽

Stephen Marsland

Keyword(s):

Feature Selection ◽

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Feature Selection for Shape-Based Classification of Biological Objects

Lecture Notes in Computer Science - Information Processing in Medical Imaging ◽

10.1007/978-3-540-45087-0_10 ◽

2003 ◽

pp. 114-125 ◽

Author(s):

Paul Yushkevich ◽

Sarang Joshi ◽

Stephen M. Pizer ◽

John G. Csernansky ◽

Lei E. Wang

Keyword(s):

Feature Selection ◽

Biological Objects ◽

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Web Page Structure Enhanced Feature Selection for Classification of Web Pages

International Journal of Computer Applications ◽

10.5120/11818-7494 ◽

2013 ◽

Vol 69 (2) ◽

pp. 41-47

Author(s):

B. LeelaDevi ◽

A. Sankar

Keyword(s):

Feature Selection ◽

Web Pages ◽

Web Page ◽

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Feature Selection for Hyperspectral Data Classification Using Double Parallel Feedforward Neural Networks

Fuzzy Systems and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/11540007_8 ◽

2005 ◽

pp. 58-66 ◽

Author(s):

Mingyi He ◽

Rui Huang

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Data Classification ◽

Feedforward Neural Networks ◽

Hyperspectral Data ◽

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Information-Theoretic Feature Selection for the Classification of Hysteresis Curves

Computational and Ambient Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-540-73007-1_64 ◽

2007 ◽

pp. 522-529 ◽

Author(s):

Vanessa Gómez-Verdejo ◽

Michel Verleysen ◽

Jérôme Fleury

Keyword(s):

Feature Selection ◽

Information Theoretic ◽

Hysteresis Curves ◽

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On the Utility of Incremental Feature Selection for the Classification of Textual Data Streams

Advances in Informatics - Lecture Notes in Computer Science ◽

10.1007/11573036_32 ◽

2005 ◽

pp. 338-348 ◽

Author(s):

Ioannis Katakis ◽

Grigorios Tsoumakas ◽

Ioannis Vlahavas

Keyword(s):

Feature Selection ◽

Data Streams ◽

Incremental Feature Selection ◽

Textual Data ◽

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Dynamic Learning of SMLR for Feature Selection and Classification of Hyperspectral Data

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2008.915930 ◽

2008 ◽

Vol 5 (2) ◽

pp. 280-284 ◽

Author(s):

Ping Zhong ◽

Peng Zhang ◽

Runsheng Wang

Keyword(s):

Feature Selection ◽

Hyperspectral Data ◽

Dynamic Learning

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Feature Selection for Classification of Variable Length Multiattribute Motions

Multimedia Data Mining and Knowledge Discovery ◽

10.1007/978-1-84628-799-2_7 ◽

2007 ◽

pp. 116-137 ◽

Author(s):

Chuanjun Li ◽

Latifur Khan ◽

Balakrishnan Prabhakaran

Keyword(s):

Feature Selection ◽

Variable Length ◽

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Optimized feature selection for the classification of uterine magnetomyography signals for the detection of term delivery

Biomedical Signal Processing and Control ◽

10.1016/j.bspc.2020.101880 ◽

2020 ◽

Vol 58 ◽

pp. 101880 ◽

Author(s):

Ananda Babu T. ◽

Rajesh Kumar P.

Keyword(s):

Feature Selection ◽

Term Delivery ◽

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