Content-Based Image Classification: Efficient Machine Learning Using Robust Feature Extraction Techniques
Das, Rik
- 出版商: CRC
- 出版日期: 2024-10-07
- 售價: $2,440
- 貴賓價: 9.5 折 $2,318
- 語言: 英文
- 頁數: 180
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367639289
- ISBN-13: 9780367639280
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相關分類:
Machine Learning
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商品描述
This book is a comprehensive guide to initiate and excel in researching with invaluable image data. This book has demonstrated several techniques of image processing to represent image data in desired format for information identification.
商品描述(中文翻譯)
本書是一本全面的指南,旨在啟動並在使用寶貴的影像數據進行研究方面取得卓越成就。本書展示了幾種影像處理技術,以將影像數據轉換為所需格式,以便進行資訊識別。
作者簡介
Rik Das is a PhD (Tech.) and M.Tech. in Information Technology from the University of Calcutta, India. He is also a B.E. in Information Technology from the University of Burdwan, India. Rik has filed and published two Indian patents consecutively during the year 2018 and 2019 and has over 40 International publications till date. He has collaborated with professionals from leading multinational software companies and with Professors and researchers of Universities in India and abroad for research work in the domain of content based image classification. Rik has over 16 years of experience in research and academia and is currently an Assistant Professor for the Program of Information Technology at Xavier Institute of Social Service (XISS), Ranchi, India.
Rik is appointed as a Distinguished Speaker of the Association of Computing Machinery (ACM), New York, USA. He is featured in uLektz Wall of Fame as one of the "Top 50 Tech Savvy Academicians in Higher Education across India" for the year 2019. He is also a Member of International Advisory Committee of AI-Forum, UK. Rik has founded a YouTube channel named 'Curious Neuron' to disseminate knowledge and information to larger communities in the domain of machine learning, research and development and open source programming languages.
作者簡介(中文翻譯)
Rik Das 擁有印度加爾各答大學的資訊科技博士(技術)及碩士學位,並且在印度布爾德萬大學獲得資訊科技學士學位。Rik 在2018年和2019年連續申請並發表了兩項印度專利,至今已發表超過40篇國際論文。他與多家領先的跨國軟體公司專業人士以及國內外大學的教授和研究人員合作,進行內容基礎影像分類領域的研究工作。Rik 在研究和學術界擁有超過16年的經驗,目前擔任印度朗齊的賈維爾社會服務學院(XISS)資訊科技課程的助理教授。
Rik 被任命為美國紐約計算機協會(ACM)的傑出演講者。他在2019年被uLektz的名人牆列為「印度高等教育中50位最具科技敏銳度的學者」之一。他也是英國AI-Forum國際諮詢委員會的成員。Rik 創立了一個名為「Curious Neuron」的YouTube頻道,旨在向更廣泛的社群傳播有關機器學習、研究與開發及開源程式語言的知識和資訊。