Spatial Big Data Science Classification Techniques for...

Main
Computers - Programming
Spatial Big Data Science Classification...

Spatial Big Data Science Classification Techniques for Earth Observation Imagery

Jiang, Zhe, Shekhar, Shashi

0 / 0

როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Computers - Programming

წელი:

2017

გამოცემა:

Softcover reprint of the original 1st edition 2017

გამომცემლობა:

Springer

ენა:

english

გვერდები:

131

ISBN 10:

3319868020

ISBN 13:

9783319868028

ფაილი:

PDF, 3.19 MB

IPFS:

,

english, 2017

ამ წიგნის ჩამოტვირთვა მიუწვდომელია საავტორო უფლებების მფლობელის საჩივრის გამო

Beware of he who would deny you access to information, for in his heart he dreams himself your master

— Pravin Lal

შესაძლოა დაგაინტერესოთ

Morse B.S. — Lectures on image processing

Dwayne Phillips — Image processing in C

Randy Crane, Hewlett-Packard Professional Books — Simplified approach to image processing in C

Maria Petrou, Pedro Garcia Sevilla — Image Processing: Dealing with Texture

William K. Pratt — Digital image processing: PIKS inside

Steve Mann — Intelligent image processing

Bhaskar Ramachandran, Christopher O. Justice, Michael J. Abrams — Land Remote Sensing and Global Environmental Change: NASA's Earth Observing System and the Science of ASTER and MODIS

Angioletta Voghera; Luigi La Riccia — Spatial Planning in the Big Data Revolution

Henning Bassman — Ad Oculus: Digital Image Processing, Student Version 2.0

Young, Gerbrands, van Vliet. — Fundamentals of image processing

Alexander Cane — MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python

Yuxi (Hayden) Liu — Python Machine Learning By Example (Second Edition)

D. P. Acharjya · Kun Ma — Computational Intelligence in Healthcare Informatics

Taskin Kavzoglu & Brandt Tso & Paul M. Mather — Classification Methods for Remotely Sensed Data; Third Edition

Himansu Das (editor), Jitendra Kumar Rout (editor), Suresh Chandra Moharana (editor), Nilanjan Dey (editor) — Applied Intelligent Decision Making in Machine Learning

Hardeo Kumar Thakur, Manpreet Kaur, Parneeta Dhaliwal, Rajeev Kumar Arya, Joan Lu, (eds.) — Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI: Selected Papers from CIAIS-2021

Taskin Kavzoglu, Brandt Tso, Paul M. Mather — Classification Methods for Remotely Sensed Data; Third Edition

Om Prakash Jena, Bharat Bhushan, Nitin Rakesh, Parma Nand Astya, Yousef Farhaoui — Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma — Data Science for Effective Healthcare Systems

Om Prakash Jena, Alok Ranjan Tripathy, Ahmed A. Elngar, Zdzislaw Polkowski — Computational Intelligence and Healthcare Informatics

Pardeep Singh — Fundamentals and Methods of Machine and Deep Learning: Algorithms, Tools, and Applications

A. V. Senthil Kumar, Ramgopal Kashyap — Challenges and Applications for Implementing Machine Learning in Computer Vision

Hardeo Kumar Thakur, Manpreet Kaur, Parneeta Dhaliwal, Rajeev Kumar Arya, Joan Lu, (eds.) — Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI: Selected Papers from CIAIS-2021

Yuxi (Hayden) Liu — Python machine learning by example : the easiest way to get into machine learning

Yuxi (Hayden) Liu — Python Machine Learning by Example

Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone — Change Detection and Image Time Series Analysis 2: Supervised Methods

Geeta Rani, Pradeep Kumar Tiwari, (eds) — Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

Yuxi (Hayden) Liu — Python Machine Learning By Example (4th Edition)

Sanjay Garg, Swati Jain, Nitant Dube, Nebu Varghese (Editors) — Earth Observation Data Analytics Using Machine and Deep Learning: Modern Tools, Applications and Challenges

Ciza Thomas, Andries Engelbrecht — Data Mining: Concepts and Applictions

Larisa Soldatova, Joaquin Vanschoren, George Papadopoulos, Michelangelo Ceci — Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings

Robert Stahlbock (editor), Gary M. Weiss (editor), Mahmoud Abou-Nasr (editor), Cheng-Ying Yang (editor), Hamid R. Arabnia (editor), Leonidas Deligiannidis (editor) — Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020 (Transactions on Computational Science and Computational Intelligence)

Alexander V. Tuzikov, Alexei M. Belotserkovsky, Marina M. Lukashevich, (eds) — Pattern Recognition and Information Processing: 15th International Conference, PRIP 2021, Minsk, Belarus, September 21–24, 2021, Revised Selected Papers

Vishal Jain, Jyotir Moy Chatterjee, Ankita Bansal, Utku Kose, Abha Jain — Computational Intelligence in Software Modeling

Vishal Jain (editor); Jyotir Moy Chatterjee (editor); Ankita Bansal (editor); Utku Kose (editor); Abha Jain (editor) — Computational Intelligence in Software Modeling

Xudong Luo, Jeffrey Xu Yu, Zhi Li (eds.) — Advanced Data Mining and Applications: 10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014. Proceedings

Jörg Lässig, Kristian Kersting, Katharina Morik (eds.) — Computational Sustainability

Weiwei Du, Kohei Inoue, Kiichi Urahama (auth.), Lipo Wang, Yaochu Jin (eds.) — Fuzzy Systems and Knowledge Discovery: Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II

Qiang Li Zhao, Yan Huang Jiang, Ming Xu (auth.), Longbing Cao, Jiang Zhong, Yong Feng (eds.) — Advanced Data Mining and Applications: 6th International Conference, ADMA 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part II

Shashidhar Soppin, Dr. Manjunath Ramachandra, B N Chandrashekar — Essentials of Deep Learning and AI: Experience Unsupervised Learning, Autoencoders, Feature Engineering

Himansu Sekhar Behera, Janmenjoy Nayak, Bighnaraj Naik, Danilo Pelusi — Computational Intelligence in Data Mining: Proceedings of the International Conference on ICCIDM 2018

John A, Satheesh Abimannan, El-Sayed M. El-Alfy, Yue-Shan Chang — Spatiotemporal Data Analytics and Modeling

საკვანძო ფრაზები