Decoding Objects of Basic Categories from Electroencephalographic Signals Using Wavelet Transform and Support Vector Machines-Reference-Cited by-同舟云学术

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Decoding Objects of Basic Categories from Electroencephalographic Signals Using Wavelet Transform and Support Vector Machines

Published:2014-05-17 Issue:1 Volume:28 Page:33-46
ISSN:0896-0267
Container-title:Brain Topography
language:en
Short-container-title:Brain Topogr

Author:

Taghizadeh-Sarabi Mitra,Daliri Mohammad Reza,Niksirat Kavous Salehzadeh

Publisher

Springer Science and Business Media LLC

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

http://link.springer.com/content/pdf/10.1007/s10548-014-0371-9.pdf

Reference52 articles.

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2. Bottou L, Chapelle O, DeCoste D, Weston J (2007) Support vector machine solvers large scale kernel machines. MIT Press, Cambridge

3. Chang CY, Chen SJ, Tsai MF (2010) Application of support–vector–machine-based method for feature selection and classification of thyroid nodules in ultrasound images. Pattern Recognit 43:3494–3506

4. Choi E, Lee C (2003) Feature extraction based on the Bhattacharyya distance. Pattern Recognit 36:1703–1709

5. Coyle D, Prasad G, McGinnity TM (2005) A time-series prediction approaches for feature extraction in a brain–computer interface. IEEE Trans Neural Syst Rehabil Eng 13:461–467

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