Author: 雷丁 J.
Publisher:
ISBN: 9787507709735
Category :
Languages : zh-CN
Pages : 231
Book Description
UnixWare shi yong zhi nan
Author: 雷丁 J.
Publisher:
ISBN: 9787507709735
Category :
Languages : zh-CN
Pages : 231
Book Description
Publisher:
ISBN: 9787507709735
Category :
Languages : zh-CN
Pages : 231
Book Description
UNIX system V shi yong zhi nan
IBM PC WordStar shi yong zhi nan
Unix Ware使用入门
UNIX xi tongV heXENIX xi tongV shi yong zhi nan
UNIX世界的小太陽
Shi yong UNIX
Author: 羽山博
Publisher:
ISBN: 9789576526916
Category : Operating systems (Computers)
Languages : zh-CN
Pages : 356
Book Description
Publisher:
ISBN: 9789576526916
Category : Operating systems (Computers)
Languages : zh-CN
Pages : 356
Book Description
UNIX xi tong shi yong cheng xu
Personalized Machine Learning
Author: Julian McAuley
Publisher: Cambridge University Press
ISBN: 1009008579
Category : Computers
Languages : en
Pages : 338
Book Description
Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.
Publisher: Cambridge University Press
ISBN: 1009008579
Category : Computers
Languages : en
Pages : 338
Book Description
Every day we interact with machine learning systems offering individualized predictions for our entertainment, social connections, purchases, or health. These involve several modalities of data, from sequences of clicks to text, images, and social interactions. This book introduces common principles and methods that underpin the design of personalized predictive models for a variety of settings and modalities. The book begins by revising 'traditional' machine learning models, focusing on adapting them to settings involving user data, then presents techniques based on advanced principles such as matrix factorization, deep learning, and generative modeling, and concludes with a detailed study of the consequences and risks of deploying personalized predictive systems. A series of case studies in domains ranging from e-commerce to health plus hands-on projects and code examples will give readers understanding and experience with large-scale real-world datasets and the ability to design models and systems for a wide range of applications.
Advanced Image and Video Processing Using MATLAB
Author: Shengrong Gong
Publisher: Springer
ISBN: 3319772236
Category : Technology & Engineering
Languages : en
Pages : 596
Book Description
This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.
Publisher: Springer
ISBN: 3319772236
Category : Technology & Engineering
Languages : en
Pages : 596
Book Description
This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.