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한국시가사강.조윤제
첨단기술미디어통신산업2022
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(으)로 127개의 도서가 검색 되었습니다.
Learning Processing: A Beginner’s Guide to Programming Images, Animation, and Interaction (A Beginner’s Guide to Programming Images, Animation, and Interaction)
Shiffman, Daniel | Morgan Kaufmann
82,600원 | 20150806 | 9780123944436
Teaches you the basic building blocks of programming needed to create advanced graphics applications including interactive art, live video processing, and data visualization. This title offers graphic and web designers working with the Processing programming environment instructions on the basic principles of the language.
가격비교
AI Deep Learning in Image Processing
| CRC Press
305,550원 | 20251013 | 9781032755304
Image processing plays a crucial role in various fields, including digital multimedia, automated vision detection and inspection, and pattern recognition. This book provides a comprehensive overview of the mechanisms and techniques involved, with a focus on the application of advanced AI deep learning technologies in image processing.
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Image Processing and Machine Learning
|
305,550원 | 20241116 | 9781032661292
This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.
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Machine Learning in Signal Processing (Applications, Challenges, and the Road Ahead)
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87,280원 | 20241004 | 9780367618926
Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising ‘signal processing (SP)’ concepts to machine learning (ML).
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Dirty Data Processing for Machine Learning
| Springer
281,110원 | 20241201 | 9789819976591
Accordingly, this book analyzes the impacts of dirty data and explores effective methods for dirty data processing.Although existing data cleaning methods improve data quality dramatically, the cleaning costs are still high.
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Machine Learning for Signal Processing (Data Science, Algorithms, and Computational Statistics)
| Oxford University Press
73,550원 | 20240228 | 9780198896555
Describes the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.
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Mastering Natural Processing with Deep Learning
| LAP Lambert Academic Publishing
117,600원 | 20250127 | 9786208425845
This book delves deep into the cutting-edge techniques of deep learning that are revolutionizing NLP. Readers will embark on a comprehensive journey, exploring foundational concepts, advanced architectures like recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformers, and their applications in diverse areas such as machine translation, sentiment analysis, and text summarization.
가격비교
Image Processing and Machine Learning, Volume 1 (Foundations of Image Processing)
| CRC Press
178,930원 | 20240216 | 9781032234588
This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.
가격비교
Neural Networks, Machine Learning, and Image Processing (Mathematical Modeling and Applications)
| CRC Press
100,360원 | 20241219 | 9781032300160
The text presents mathematical modeling techniques such as wavelet transform, differential calculus, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication, and computer.
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Machine Learning and Deep Learning in Natural Language Processing
| CRC Press
109,090원 | 20250928 | 9781032282879
This book aims at providing a review of current Neural Network techniques in the NLP. The book is intended for a wide audience: beginners will find chapters providing a general introduction to the NLP techniques useful; experienced professionals would appreciate the chapters about advanced management of emotion etc.
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Handbook of Deep Learning Models for Healthcare Data Processing (Disease Prediction, Analysis, and Applications)
| CRC Press
327,370원 | 20250629 | 9781032739397
In recent years, deep learning has shown great potential in transforming various fields, including healthcare. With the abundance of healthcare data being generated daily, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes.
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Signal Processing and Machine Learning for Biomedical Big Data
| CRC Press
0원 | 20250523 | 9781138749566
This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis.
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Signal Processing and Machine Learning Theory
| Academic Press
272,860원 | 20221201 | 9780323917728
In this thoughtful and timely second novel, Daniel Aleman addresses immigration and physical and emotional borders through the story of a girl who crosses into the US for school and work, but finds it difficult to return to the ones she loves in Mexico.
가격비교
Deep Learning in Medical Image Processing and Analysis
| Institution of Engineering & Technology
233,540원 | 20231001 | 9781839537936
This book introduces the fundamentals of deep learning for biomedical image analysis for applications including ophthalmology, cancer detection and heart disease. The book discusses multimedia data analysis algorithms and the principles of feature selection, optimisation and analysis.
가격비교
Machine Learning Methods for Signal, Image and Speech Processing
| River Publishers
93,820원 | 20241021 | 9788770042864
This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc.
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