MACHINE LEARNING – FACE DETECTION AND FACE RECOGNITION
DOI:
https://doi.org/10.24867/24BE02SalihagicKeywords:
Machine learning, face detection, face recognitionAbstract
This paper provides a concise explanation of the field of Machine Learning, its algorithms, and its applications. Additionally, the algorithms for face detection and recognition are thoroughly explained with examples and images. Machine Learning is a branch of Artificial intelligence that enables computers to learn and improve based on experience without explicit programming. One of the applications of Machine learning is face detection and recognition, which involves identifying human faces in digital images or videos.
References
[1] Albalate, Amparo; Minker, Wolfgang, Semi-Supervised and Unsupervised Machine Learning, Wiley-ISTE, London, 2011. [PDF]
[2] Albon,Chris, Machine Learning with Python Cookbook, O’Reilly Media, Inc, Sebastopol, 2018. [PDF]
[3] Burkov, Andriy, The Hundred Page Machine Learning Book, Andriy Burkov, 2019. [PDF]
[4] Buduma, Nikhil; Lacascio, Nicholas, Fundamentals of Deep Learning, O’Reilly Media, Inc., Sebastopol, 2017. [PDF]
[5] Bousquet, Olivier; Ulrike von Luxburg; Ratsch, Gunnar, Advanced Lectures on Machine Learning, ML Summer Schools, Canberra, 2003. [PDF]
[6] Cyganek, Boguslaw, Object detection and recognition in digital images – Theory and practice, A John Wiley & Sons Ltd., Hoboken, 2013. [PDF]
[7] Davies, E. R., Computer&Machine Vision – Theory, Algorithms, Practicalities 4th Edition, Academic Press, Massachusetts, 2012. [PDF]
[8] Dey, Sandipan, Hands-On Image Processing with Python, Packt Publishing, Birmingham, 2018. [PDF]
[9] Elgendy, Mohamed, Deep Learning for Vision Systems Version 6, Manning Publications, New York, 2019. [PDF]
[2] Albon,Chris, Machine Learning with Python Cookbook, O’Reilly Media, Inc, Sebastopol, 2018. [PDF]
[3] Burkov, Andriy, The Hundred Page Machine Learning Book, Andriy Burkov, 2019. [PDF]
[4] Buduma, Nikhil; Lacascio, Nicholas, Fundamentals of Deep Learning, O’Reilly Media, Inc., Sebastopol, 2017. [PDF]
[5] Bousquet, Olivier; Ulrike von Luxburg; Ratsch, Gunnar, Advanced Lectures on Machine Learning, ML Summer Schools, Canberra, 2003. [PDF]
[6] Cyganek, Boguslaw, Object detection and recognition in digital images – Theory and practice, A John Wiley & Sons Ltd., Hoboken, 2013. [PDF]
[7] Davies, E. R., Computer&Machine Vision – Theory, Algorithms, Practicalities 4th Edition, Academic Press, Massachusetts, 2012. [PDF]
[8] Dey, Sandipan, Hands-On Image Processing with Python, Packt Publishing, Birmingham, 2018. [PDF]
[9] Elgendy, Mohamed, Deep Learning for Vision Systems Version 6, Manning Publications, New York, 2019. [PDF]
Downloads
Published
2023-09-05
Issue
Section
Electrotechnical and Computer Engineering