4,234 resources related to Iris
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2016 IEEE International Conference on Image Processing (ICIP)
Signal processing, image processing, biomedical imaging, multimedia, video, multidemensional.
2013 5th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
providing an open forum for researchers, engineers, network planners and service providers targeted on newly emerging algorithms, systems, standards, services, and applications, bringing together leading international players in telecommunications, control systems, automation and robotics. The event is positioned as a major international annual congress for the presentation of original and fundamental research and engineering results.
2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2012)
The Applied Imagery Pattern Recognition Workshop promotes and encourages the interdisciplinary interchange of ideas. The purpose of the annual AIPR workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines.
2012 IEEE Fifth International Conference On Biometrics: Theory, Applications And Systems (BTAS)
Various aspects of Biometric Recognition: sensor design, feature extraction and pattern matching algorithms, databases and performance evaluation, security and privacy, information fusion, social impact, and forensics.
ETCS2011 will be held on 12-13 March, 2011 in Wuhan, China. ETCS2009 and ETCS2010 have been indexed by EI Compendex and ISTP. The ETCS2011 will bring together the top researchers from Asian Pacific nations, North America, Europe and around the world to exchange their research results and address open issues in Education Technology and Computer Science.
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.
Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...
The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...
Applications, review, and tutorial papers within the scope of the Systems, Man and Cybernetics Society. Currently, this covers: (1) Integration of the theories of communication, control cybernetics, stochastics, optimization and system structure towards the formulation of a general theory of systems; (2) Development of systems engineering technology including problem definition methods, modeling, and stimulation, methods of systems experimentation, human factors ...
Lee, T.K.M.; Loe, K.F.; Lee, P.A.; Sanei, S. Digital Signal Processing, 2007 15th International Conference on, 2007
With the widespread use of video, biometrics that have a temporal dimension can now be easily used. The element of time allows a wide range of tools used for time series analysis to be applied to biometrics. In this paper we examine more closely the temporal nature offronto-normal gait and that is to examine its basic statistical properties, an important ...
Zheng, S.; Lin, J.C.-H.; Kasdan, H.L.; Yu-Chong Tai Solid-State Sensors, Actuators and Microsystems Conference, 2007. TRANSDUCERS 2007. International, 2007
In this paper, we demonstrated leukocyte labeling, sensing and differentiation from undiluted human whole blood samples with microfabricated devices. A challenging issue in leukocyte sensing from blood samples is the required high dilution level, which is used mainly to prevent interference from the overwhelmingly outnumbered erythrocytes. Dilution is undesirable for micro hemacytometers. It not only increases sample volume and processing ...
Reale, M.; Peng Liu; Lijun Yin Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on, 2011
True immersion of a user within a game is only possible when the world simulated looks and behaves as close to reality as possible. This implies that the game must ascertain, among other things, the user's focus and his/her attitude towards the object or person focused on. As part of the effort to achieve this goal, we propose an eye ...
Tanaka, A.; Kinoshita, K.; Kishida, S. Intelligent Signal Processing and Communications Systems (ISPACS), 2012 International Symposium on, 2012
We constructed multi-step authentication systems of layered neural networks for fingerprint, where we can deal with a number of patterns and can control authentication rates by the number of step in the system. We clarified the effect of neural network size on performance of the authentication systems for fingerprints. From the results, we found that the authentication rates for 1 ...
Ishikawa, M. Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on, 1994
The article presents the concept of structural learning with forgetting. To evaluate its effectiveness, various examples are tried, such as the discovery of a Boolean function and the classification of iris. Its extension to recurrent networks is also described. A database on mushrooms is used to demonstrate the effectiveness of rule extraction from training data. A comparative study on the ...
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