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Comparison of Face Recognition Algorithms
(IEEE, 345 E 47Th St, New York, Ny 10017 USA, 2017)
in this study, we analyze the algorithms that is used for face recognition and make performance comparison of two algorithms. The methods that is analyzed are k-nearest neighbors, Naive Bayes, eigenfaces, principle component ...
Digital Data Forgetting: A Machine Learning Approach
Digital transformation of the world goes very fast during last two decades. Today, data is power and very important. Firstly, magnetic tapes and then digital data storages have been used to collect all data. After this ...
Flower Classification with Deep CNN and Machine Learning Algorithms
Development of the recognition of rare plant species will be advantageous in the fields such as the pharmaceutical industry, botany, agricultural, and trade activities. It was also very challenging that there is diversity ...