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Survey Paper | Computer Science Engineering | Volume 5 Issue 4, April 2016 | Pages: 187 - 193 | India
A Survey and Comparison of Artificial Intelligence Techniques for Image Classification and Their Applications
Abstract: This paper focuses on a case study of a number of image classification algorithms which include decision trees, k-nearest neighbours, deep neural networks, Convolutional neural networks, Support vector machines and random forest. The three main algorithms SVM, RF and CNN have been elaborated due to their varying approaches to classification. They have been juxtaposed with their applications in various domains which are an influence in technology. This paper also discusses the multiple advantages and disadvantages of the aforementioned algorithms.
Keywords: Artificial Intelligence, Image Classification, Convolutional Neural Networks, Support Vector Machines, Random Forests,
How to Cite?: Vishal.T.V, Srinidhi.S, Srividhya.S, Sri Vishnu Kumar.K, Swathika R, "A Survey and Comparison of Artificial Intelligence Techniques for Image Classification and Their Applications", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 187-193, https://www.ijsr.net/getabstract.php?paperid=NOV162497, DOI: https://dx.doi.org/10.21275/NOV162497