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We are excited to announce that Canv.ai now features a built-in translator, allowing you to communicate in your native language. You can write prompts in your language, and they will be automatically translated into English, facilitating communication and the exchange of ideas!

We value freedom of speech and guarantee the absence of censorship on Canv.ai. At the same time, we hope and believe in the high moral standards of our users, which will help maintain a respectful and constructive atmosphere.


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Pattern Recognition and Computer Vision (Repost)

Posted By: AvaxGenius
Pattern Recognition and Computer Vision (Repost)

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I by Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha
English | PDF | 2018 | 603 Pages | ISBN : 303003397X | 121.8 MB

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.

Pattern Recognition and Computer Vision (Repost)

Posted By: AvaxGenius
Pattern Recognition and Computer Vision (Repost)

Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018, Guangzhou, China, November 23-26, 2018, Proceedings, Part I by Jian-Huang Lai, Cheng-Lin Liu, Xilin Chen, Jie Zhou, Tieniu Tan, Nanning Zheng, Hongbin Zha
English | PDF | 2018 | 603 Pages | ISBN : 303003397X | 121.8 MB

The four-volume set LNCS 11256, 11257, 11258, and 11259 constitutes the refereed proceedings of the First Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2018, held in Guangzhou, China, in November 2018.

Discriminative Learning in Biometrics (Repost)

Posted By: AvaxGenius
Discriminative Learning in Biometrics (Repost)

Discriminative Learning in Biometrics by David Zhang, Yong Xu, Wangmeng Zuo
English | PDF(True) | 2016 | 267 Pages | ISBN : 9811020558 | 7.4 MB

This monograph describes the latest advances in discriminative learning methods for biometric recognition. Specifically, it focuses on three representative categories of methods: sparse representation-based classification, metric learning, and discriminative feature representation, together with their applications in palmprint authentication, face recognition and multi-biometrics. The ideas, algorithms, experimental evaluation and underlying rationales are also provided for a better understanding of these methods. Lastly, it discusses several promising research directions in the field of discriminative biometric recognition.

Five-Layer Intelligence of the Machine Brain: System Modelling and Simulation

Posted By: AvaxGenius
Five-Layer Intelligence of the Machine Brain: System Modelling and Simulation

Five-Layer Intelligence of the Machine Brain: System Modelling and Simulation by Wen-Feng Wang
English | EPUB | 2022 | 223 Pages | ISBN : 9811902712 | 35.5 MB

This book intends to report the new results of the efforts on the study of Layered Intelligence of the Machine Brain (LIMB). The book collects novel research ideas in LIMB and summarizes the current machine intelligence level as “five layer intelligence”- environments sensing, active learning, cognitive computing, intelligent decision making and automatized execution. The book is likely to be of interest to university researchers, R&D engineers and graduate students in computer science and electronics who wish to learn the core principles, methods, algorithms, and applications of LIMB.