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The Eighteenth International Conference on Management Science and Engineering Management
  • Language: en
  • Pages: 1703
Computer Vision – ECCV 2024
  • Language: en
  • Pages: 581

Computer Vision – ECCV 2024

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Data Mining and Big Data
  • Language: en
  • Pages: 445

Data Mining and Big Data

This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21–24, 2022. The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.

Pattern Recognition
  • Language: en
  • Pages: 750

Pattern Recognition

  • Type: Book
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  • Published: 2016-10-21
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  • Publisher: Springer

The two-volume set CCIS 662 and CCIS 663 constitutes the refereed proceedings of the 7th Chinese Conference on Pattern Recognition, CCPR 2016, held in Chengdu, China, in November 2016.The 121 revised papers presented in two volumes were carefully reviewed and selected from 199 submissions. The papers are organized in topical sections on robotics; computer vision; basic theory of pattern recognition; image and video processing; speech and language; emotion recognition.

Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)
  • Language: en
  • Pages: 629

Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023)

This is an open access book.The 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023) will be held in Chengdu, China from August 04 to 06, 2023. This conference mainly focuses on the latest research on "Intelligent Design and Innovative Technology". This conference brings together experts, scholars, researchers and relevant practitioners in this field from all over the world to share research results, discuss hot issues, and provide participants with cutting-edge scientific and technological information, so that you can timely understand the development trends of the industry and master the latest technologies, broaden research horizons and promote academic progress.

Bayesian Optimization
  • Language: en
  • Pages: 376

Bayesian Optimization

Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond. This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way. This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations. The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of practical and effective optimization policies. Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications.

The Legendary Game Player
  • Language: en
  • Pages: 1165

The Legendary Game Player

  • Type: Book
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  • Published: 2020-04-07
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  • Publisher: Funstory

How could a game without an external connection work? He was going to grind monsters with 10,000 low-leveled accounts! The diaosi Li Feng who was poisoned by the computer actually had the ability to open small accounts without limit! Hot blooded Jianghu Player, WOW players, Questioning players, Conquering players and other old game players must see it!

Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
  • Language: en
  • Pages: 823
Image and Graphics
  • Language: en
  • Pages: 384

Image and Graphics

The five-volume set LNCS 14355, 14356, 14357, 14358 and 14359 constitutes the refereed proceedings of the 12th International Conference on Image and Graphics, ICIG 2023, held in Nanjing, China, during September 22–24, 2023. The 166 papers presented in the proceedings set were carefully reviewed and selected from 409 submissions. They were organized in topical sections as follows: computer vision and pattern recognition; computer graphics and visualization; compression, transmission, retrieval; artificial intelligence; biological and medical image processing; color and multispectral processing; computational imaging; multi-view and stereoscopic processing; multimedia security; surveillance and remote sensing, and virtual reality. The ICIG 2023 is a biennial conference that focuses on innovative technologies of image, video and graphics processing and fostering innovation, entrepreneurship, and networking. It will feature world-class plenary speakers, exhibits, and high-quality peer reviewed oral and poster presentations.

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023
  • Language: en
  • Pages: 838

Medical Image Computing and Computer Assisted Intervention – MICCAI 2023

The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learnin...