Tags
Language
Tags
April 2024
Su Mo Tu We Th Fr Sa
31 1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 1 2 3 4
https://canv.ai/
The picture is generated by canv.ai

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.


👉 Check for yourself!

Dynamic Neural Field Theory for Motion Perception

Posted By: AvaxGenius
Dynamic Neural Field Theory for Motion Perception

Dynamic Neural Field Theory for Motion Perception by Martin A. Giese
English | PDF (True) | 1999 | 259 Pages | ISBN : 0792383001 | 34.6 MB

Dynamic Neural Field Theory for Motion Perception provides a new theoretical framework that permits a systematic analysis of the dynamic properties of motion perception.
This framework uses dynamic neural fields as a key mathematical concept. The author demonstrates how neural fields can be applied for the analysis of perceptual phenomena and its underlying neural processes. Also, similar principles form a basis for the design of computer vision systems as well as the design of artificially behaving systems. The book discusses in detail the application of this theoretical approach to motion perception and will be of great interest to researchers in vision science, psychophysics, and biological visual systems.

Digital Document Processing: Major Directions and Recent Advances (Repost)

Posted By: AvaxGenius
Digital Document Processing: Major Directions and Recent Advances (Repost)

Digital Document Processing: Major Directions and Recent Advances by Bidyut B. Chaudhuri
English | PDF | 2007 | 473 Pages | ISBN : 1846285011 | 21 MB

In this book, all the major and frontier topics in the field of document analysis are brought together into a single volume creating a unique reference source.
Highlights include:

Handbook of Digital 3D Reconstruction of Historical Architecture

Posted By: AvaxGenius
Handbook of Digital 3D Reconstruction of Historical Architecture

Handbook of Digital 3D Reconstruction of Historical Architecture by Sander Münster , Fabrizio Ivan Apollonio , Ina Bluemel , Federico Fallavollita , Riccardo Foschi , Marc Grellert , Marinos Ioannides , Peter Heinrich Jahn , Richard Kurdiovsky , Piotr Kuroczyński , Jan-Eric Lutteroth , Heike Messemer , Georg Schelbert
English | PDF EPUB (True) | 2024 | 211 Pages | ISBN : 3031433629 | 53.5 MB

This book is a handbook for students, experts and interested parties who want to learn more about digital 3D reconstruction of historical architecture. The book provides answers to the core questions of the subject: What is a digital 3D model or a digital 3D reconstruction? How are they created and what are they used for? Practical instructions, condensed knowledge, explanations of technical terms and references to example projects, literature and further references provide information of varying density and thus enable an individual introduction to the subject.

Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 (Repost)

Posted By: AvaxGenius
Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 (Repost)

Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 by Asit Kumar Das
English | EPUB | 2020 | 1023 Pages | ISBN : 981139041X | 170.3 MB

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.

Computer Vision, Pattern Recognition, Image Processing, and Graphics

Posted By: AvaxGenius
Computer Vision, Pattern Recognition, Image Processing, and Graphics

Computer Vision, Pattern Recognition, Image Processing, and Graphics: 7th National Conference, NCVPRIPG 2019, Hubballi, India, December 22–24, 2019, Revised Selected Papers by R. Venkatesh Babu
English | PDF | 2020 | 641 Pages | ISBN : 9811586969 | 125.5 MB

This book constitutes the refereed proceedings of the 7th National Conference on Computer Vision, Pattern Recognition, Image Processing, and Graphics, NCVPRIPG 2019, held in Hubballi, India, in December 2019.

Synergetic Computers and Cognition: A Top-Down Approach to Neural Nets

Posted By: AvaxGenius
Synergetic Computers and Cognition: A Top-Down Approach to Neural Nets

Synergetic Computers and Cognition: A Top-Down Approach to Neural Nets by Hermann Haken
English | PDF | 2004 | 248 Pages | ISBN : 3540421637 | 21.9 MB

The first edition of this book has found great interest among scientists and en­ gineers dealing with pattern recognition and among psychologists working on psychophysics or Gestalt psychology. This book also proved highly useful for graduate students of informatics. The concept of the synergetic computer offers an important alternative to the by now more traditional neural nets. I just mention a few advantages: There are no ghost states so that time-consuming methods such as simulated annealing can be avoided; the synaptic strengths are explicitly determined by the prototype patterns to be stored, but they can equally well be learned, and the learning procedure allows a classification. Also a precise meaning and function can be attributed to "hidden variables".

Pattern Recognition: Introduction, Features, Classifiers and Principles

Posted By: hill0
Pattern Recognition: Introduction, Features, Classifiers and Principles

Pattern Recognition: Introduction, Features, Classifiers and Principles
English | 2018 | ISBN: 3110537931 | 306 Pages | PDF (True) | 13 MB

Pattern Recognition on Oriented Matroids

Posted By: hill0
Pattern Recognition on Oriented Matroids

Pattern Recognition on Oriented Matroids
English | 2017 | ISBN: 3110530716 | 232 Pages | PDF (True) | 1 MB

Handbook of Vascular Biometrics (Repost)

Posted By: AvaxGenius
Handbook of Vascular Biometrics (Repost)

Handbook of Vascular Biometrics by Andreas Uhl
English | EPUB | 2020 | 533 Pages | ISBN : 3030277305 | 103.3 MB

This handbook provides the first comprehensive overview of biometrics exploiting the shape of human blood vessels for biometric recognition, i.e. vascular biometrics, including finger vein recognition, hand/palm vein recognition, retina recognition, and sclera recognition. After an introductory chapter summarizing the state of the art in and availability of commercial systems and open datasets/open source software, individual chapters focus on specific aspects of one of the biometric modalities, including questions of usability, security, and privacy. The book features contributions from both academia and major industrial manufacturers.

Fundamentals of Computerized Tomography: Image Reconstruction from Projections

Posted By: step778
Fundamentals of Computerized Tomography: Image Reconstruction from Projections

Gabor T. Herman, "Fundamentals of Computerized Tomography: Image Reconstruction from Projections"
English | 2010 | pages: 302 | ISBN: 1447125215, 185233617X | PDF | 52,1 mb

Pattern Recognition (2nd Edition)

Posted By: hill0
Pattern Recognition (2nd Edition)

Pattern Recognition: Introduction, Features, Classifiers and Principles
English | 2024 | ISBN: 311133919X | 354 Pages | PDF (True) | 29 MB

Machine Learning in Computer Vision

Posted By: AvaxGenius
Machine Learning in Computer Vision

Machine Learning in Computer Vision by N. Sebe , Ira Cohen , Ashutosh Garg , Thomas S. Huang
English | PDF (True) | 2005 | 253 Pages | ISBN : 1402032749 | 5.2 MB

It started with image processing in the sixties. Back then, it took ages to digitize a Landsat image and then process it with a mainframe computer. Pro- cessing was inspired on the achievements of signal processing and was still very much oriented towards programming.

3D Printing with MatterControl (Repost)

Posted By: AvaxGenius
3D Printing with MatterControl (Repost)

3D Printing with MatterControl by Joan Horvath , Rich Cameron
English | PDF (True) | 2015 | 176 Pages | ISBN : 1484210565 | 6.1 MB

In 3D Printing With MatterControl, Joan Horvath and Rich Cameron, the team behind Mastering 3D Printing, explain step-by-step how to use the MatterControl program, which allows you to control many common types of 3D printers (including both cartesian and delta style machines). 3D Printing With MatterControl can stand alone, or it can be a companion to Mastering 3D Printing to show you how to install, configure, and use best practices with your printer and printing software. The book includes both step by step software walkthroughs and case studies with typical 3D printed objects.

Speaker Classification I: Fundamentals, Features, and Methods

Posted By: AvaxGenius
Speaker Classification I: Fundamentals, Features, and Methods

Speaker Classification I: Fundamentals, Features, and Methods by Christian Müller
English | PDF | 2007 | 362 Pages | ISBN : 3540741860 | 8.5 MB

As well as conveying a message in words and sounds, the speech signal carries information about the speaker's own anatomy, physiology, linguistic experience and mental state. These speaker characteristics are found in speech at all levels of description: from the spectral information in the sounds to the choice of words and utterances themselves.

Biomedical Image Analysis: Special Applications in MRIs and CT scans

Posted By: AvaxGenius
Biomedical Image Analysis: Special Applications in MRIs and CT scans

Biomedical Image Analysis: Special Applications in MRIs and CT scans by Pritpal Singh
English | PDF EPUB (True) | 2024 | 173 Pages | ISBN : 9819999383 | 52.8 MB

This book provides an in-depth study of biomedical image analysis. It reviews and summarizes previous research work in biomedical image analysis and also provides a brief introduction to other computation techniques, such as fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm, focusing on how these techniques can be integrated into different phases of the biomedical image analysis. In particular, this book describes novel methods resulting from the fuzzy sets, neutrosophic sets, clustering algorithm and fast forward quantum optimization algorithm. It also demonstrates how a new quantum-clustering based model can be successfully applied in the context of clustering the COVID-19 CT scans. Thanks to its easy-to-read style and the clear explanations of the models, the book can be used as a concise yet comprehensive reference guide to biomedical image analysis, and will be valuable not only for graduate students, but also for researchers and professionals working for academic, business and government institutes and medical colleges.