COMPARISON OF USE OF RANDOM FOREST ALGORITHM AND SUPPORT VECTOR MACHINE FOR GENDER CLASSIFICATION

COMPARISON OF USE OF RANDOM FOREST ALGORITHM AND SUPPORT VECTOR MACHINE FOR GENDER CLASSIFICATION

Computer Vision is a branch of the problem in Artificial Intelligence. Image data is one of the unstructured data that needs to be developed in its processing. One example of a real problem in computer vision is how to classify the gender from image data. One of the advantages of the rapid develo...

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Bibliographic Details
Main Author:	Ashabul Kahfi, Muhammad
Format:	Final Project
Language:	Indonesia
Online Access:	https://digilib.itb.ac.id/gdl/view/64084
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Institut Teknologi Bandung
Language:	Indonesia

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