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Intelligent Learning for Computer Vision : Proceedings of Congress on Intelligent Systems 2020 - Harish Sharma

Intelligent Learning for Computer Vision

Proceedings of Congress on Intelligent Systems 2020

By: Harish Sharma (Editor), Sandeep Kumar (Editor), Mukesh Saraswat (Editor), Jagdish Chand Bansal (Editor)

Hardcover | 20 May 2021

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Development of Inter-Ethnic Harmony Search Algorithm based on Inter-Ethnic Reconciliation.- A Low-Cost Embedded Computer Vision System for the Classification of Recyclable Objects.- An Optimal Feature Selection Approach based on IBBO for Histopathological Image Classification.- Accuracy Evaluation of Plant Leaf Disease Detection and Classification using GLCM and Multiclass SVM Classifier.- A Deep Learning Technique for Automatic Teeth Recognition in Dental Panoramic X-Ray Images Using Modified Palmer Notation System.- Detection of Parkinson's disease from hand-drawn images using Deep Transfer Learning.- An Empirical Analysis of Hierarchical and Partition Based Clustering Techniques in Optic Disc Segmentation.- Multi Class Support Vector Machine Based Household Object Recognition System Using Features Supported by Point Cloud Library.- Initialization of MLP Parameters using Deep Belief Networks for Cancer Classification.- An Improved Inception Layer Based Convolutional Neural Network For Identifying Rice Leaf Diseases.- Design & Implementation of Traffic Sign Classifier Using Machine Learning Model.- Designing controller parameter of wind turbine emulator using artificial bee colony algorithm.- Text-Document Orientation Detection Using Convolutional Neural Networks.- A Deep Learning based Segregation of Housing Image data for Real Estate application.

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