Intelligent learning for computer vi...
Congress on Intelligent Systems (2020 :)

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  • Intelligent learning for computer vision = proceedings of Congress on Intelligent Systems 2020 /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Intelligent learning for computer vision/ edited by Harish Sharma ... [et al.].
    其他題名: proceedings of Congress on Intelligent Systems 2020 /
    其他題名: Congress on Intelligent Systems 2020
    其他作者: Sharma, Harish.
    團體作者: Congress on Intelligent Systems
    出版者: Singapore :Springer Singapore : : 2021.,
    面頁冊數: xiv, 591 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Computer vision - Congresses. -
    電子資源: https://doi.org/10.1007/978-981-33-4582-9
    ISBN: 9789813345829
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