IEEE - Institute of Electrical and Electronics Engineers, Inc. - A low-cost FPGA-based SVM classifier for melanoma detection

2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES)

Author(s): Shereen Afifi ; Hamid GholamHosseini ; Roopak Sinha
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2016
Conference Location: Kuala Lumpur, Malaysia
Conference Date: 4 December 2016
Page(s): 631 - 636
ISBN (Electronic): 978-1-4673-7791-1
DOI: 10.1109/IECBES.2016.7843526
Regular:

Support Vector Machines (SVMs) are common machine learning tools with accurate classification. Hardware implementation of SVM classifiers for real-time applications can improve their computing... View More

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