Title :
A machine vision of non-supervised learning system
Author_Institution :
Math. Dept., Texas A&M Univ. at Qatar, Doha, Qatar
Abstract :
Vision systems that learn and adapt represent one of the most important directions in computer vision field and research. Moreover, unsupervised learning is a class of problems that aims to organize the data that the learner is given in different situation and use techniques to summarize and explain key feature data. This is not to be confused with supervised techniques when the learner expected to use some steps in a certain order. This paper presents a learning system simulator without prior knowledge about the users in advanced. They will be solving game problems with strategy that may differ every time and the sitting is in virtual reality.
Keywords :
computer vision; unsupervised learning; computer vision; machine vision; nonsupervised learning system; unsupervised learning; virtual reality; Computer vision; Humans; Learning systems; Machine learning; Machine vision; Mathematics; Second Life; State estimation; Unsupervised learning; Virtual reality; Machine vision; second life;
Conference_Titel :
Ultra Modern Telecommunications & Workshops, 2009. ICUMT '09. International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-3942-3
Electronic_ISBN :
978-1-4244-3941-6
DOI :
10.1109/ICUMT.2009.5345321
