Semantic Perception


Download Semantic Perception PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Semantic Perception book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.

Download

GENERAL MODEL OF PERCEPTION. THE KOKHAN’S MATHEMATICS


GENERAL MODEL OF PERCEPTION. THE KOKHAN’S MATHEMATICS

Author: Кохан Анатолий Аркадьевич

language: en

Publisher: Анатолий Кохан

Release Date: 2025-02-26


DOWNLOAD





I am interested in how the physics of social relations works, how technologies function, what truly constitutes our experience, and what is merely a hypothesis. I understand that in this world, nothing exists contrary to the laws of physics—whether in our physiology, in technology, or in social relations. Ultimately, everything boiled down to formalization—the only formal science: mathematics. I searched for answers in textbooks, but I found them in reality, or rather, in the formalization of subjective reality — in what we are accustomed to calling mathematics. However, the answers only aligned when explicit cognitive biases were eliminated from mathematics, revealing the picture that each of us inherently sees, until naivety and trust lead us to believe in someone’s deliberate or accidental lies. Other people not only create what you use in life — they are the source of your perception and will remain so. They are the most valuable thing you have, just as you are unique and invaluable to others, until lies rob you of reason. Not utilizing the cognitive potential of everyone is an unforgivable waste. The world is beautiful, but it is predictable only to the extent that your knowledge allows. The world may seem bleak if you have not yet learned to use it in a way that yields expected results rather than failures. We must learn to use, without errors, what is physiologically a necessary part of our lives — communication. To my surprise, eliminating cognitive errors from mathematics not only changes perception but also solves a vast number of modern technological problems and harmonizes our coexistence with technology.

The Semantic Web - ISWC 2010


The Semantic Web - ISWC 2010

Author: Peter F. Patel-Schneider

language: en

Publisher: Springer Science & Business Media

Release Date: 2011-01-04


DOWNLOAD





The two-volume set LNCS 6496 and 6497 constitutes the refereed proceedings of the 9th International Semantic Web Conference, ISWC 2010, held in Shanghai, China, during November 7-11, 2010. Part I contains 51 papers out of 578 submissions to the research track. Part II contains 18 papers out of 66 submissions to the semantic Web in-use track, 6 papers out of 26 submissions to the doctoral consortium track, and also 4 invited talks. Each submitted paper were carefully reviewed. The International Semantic Web Conferences (ISWC) constitute the major international venue where the latest research results and technical innovations on all aspects of the Semantic Web are presented. ISWC brings together researchers, practitioners, and users from the areas of artificial intelligence, databases, social networks, distributed computing, Web engineering, information systems, natural language processing, soft computing, and human computer interaction to discuss the major challenges and proposed solutions, the success stories and failures, as well the visions that can advance research and drive innovation in the Semantic Web.

Computer Vision – ECCV 2024


Computer Vision – ECCV 2024

Author: Aleš Leonardis

language: en

Publisher: Springer Nature

Release Date: 2024-11-20


DOWNLOAD





The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers presented in these proceedings were carefully reviewed and selected from a total of 8585 submissions. They deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; motion estimation.