1,744 resources related to Unsupervised learning
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2013 International Conference on Machine Learning and Cybernetics (ICMLC)
Statistical Machine Learning, Intelligent & fuzzy control, Pattern Recognition , Ensemble method, Evolutionary computation, Fuzzy & rough set, Data & web mining , Intelligent Business Computing , Biometrics , Bioinformatics , Information retrieval, Cybersecurity, Web intelligence and technology, Semantics & ontology engineering, Social Networks & Ubiquitous Intelligence, Multicriteria decision making, Soft Computing, Intelligent Systems, Speech, Image & Video Processing, Decision Support System
2012 10th World Congress on Intelligent Control and Automation (WCICA 2012)
A. Intelligent Control B. Control Theory and Control Engineering C. Complex Systems and Intelligent Robots D. Others
Theoretical advances, applications and ideas in the fields of information theory (including application to biological sciences); communication, networking, signal, image and video processing; systems and control; learning and statistical inference.
2012 IEEE 15th International Conference on Computational Science and Engineering (CSE)
The Computational Science and Engineering area has earned prominence through advances in electronic and integrated technologies beginning in the 1940s. Current times are very exciting and the years to come will witness a proliferation in the use of various advanced computing systems. It is increasingly becoming an emerging and promising discipline in shaping future research and development activities in academia and industry, ranging from engineering, science, finance, economics, arts and humanitarian fields, especially when the solution of large and complex problems must cope with tight timing schedules.
Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...
Xia Liu; Youding Zhu; Fujimura, K. Intelligent Transportation Systems, 2002. Proceedings. The IEEE 5th International Conference on, 2002
Driver pose estimation is one of the key components for future driver assistance systems since driver pose contains much information about his driving condition such as attention and fatigue levels. To this goal, a system is presented that detects the pose of the driver face in real time under realistic lighting conditions. The goal of the work is to automate ...
Christodoulou, C.I.; Pattichis, C.S. Neural Networks, 1995. Proceedings., IEEE International Conference on, 1995
The shapes and firing rates of motor unit action potentials (MUAPs) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this information from EMG signals recorded at force levels up to 20% of maximum voluntary contraction (MVC) it is required: (i) To identify the MUAPs composing the EMG ...
Chung-Chain Hsu; Chien-Hao Kung Natural Computation (ICNC), 2013 Ninth International Conference on, 2013
In previous studies, a modified SOM extended with distance hierarchies has been proposed to alleviate handling of categorical values. The model was able to take into account the semantics embedded in categorical values. However, the proposed approach required the presence of a class attribute or domain experts. In this article, we propose a model incorporating unsupervised learning of distance hierarchies ...
Hoshino, Y.; Sakakura, A.; Kamei, K. Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on, 2004
The purpose of our research is the acquisition of cooperative behaviors in a heterogeneous multi-agent system. In this paper, we used the fire panic problem and we have tried to be learned how agents escape from the fire. Also, we have observed agents behavior and checked a character of agent types. In the fire panic problem, a fire exists in ...
Kubota, N.; Shimizu, T. Neural Networks, 2006. IJCNN '06. International Joint Conference on, 2006
Imitation is a powerful tool for behavior learning and human communication. Basically, imitative learning is composed of model observation and model reproduction. This paper applies a spiking neural network and self-organizing map for model observation, and modular fuzzy neural networks and a steady- state genetic algorithm for model reproduction. The proposed method is applied for a partner robot interacting with ...
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