Conferences 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 IV International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2012)

    ICUMT is an annual international congress 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.

  • 2011 3rd International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2011)

    ICUMT is an annual international congress 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.

  • 2010 International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT 2010)

    ICUMT is an annual international congress providing an open forum for researchers, engineers, network planners and service providers in telecommunications and control systems targeted on newly emerging algorithms, systems, standards, services, and applications. ICUMT is positioned as a premier international annual congress for the presentation of original and fundamental research and engineering results. The aim of ICUMT is to bring together Russian and international players in telecommunications and contro

  • 2009 International Conference on Ultra Modern Telecommunications (ICUMT 2009)

    The aim of ICUMT is to bring together Russian and international players in telecommunications. ICUMT is positioned as a premier international annual conference for the presentation of original and fundamental research results in various fields of telecommunications. The conference will consist of technical symposia, workshops and industrial panels. The conference has strong industrial support from worldwide leading telecommunication vendors as well as national companies and SMEs.


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.

  • 2011 IEEE Applied Imagery Pattern Recognition Workshop: Imaging for Decision Making (AIPR 2011)

    The purpose of the Applied Imagery Pattern Recognition (AIPR) annual 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. The papers span a range from research to fielded systems and provide, to managers and developers alike, a broad vision of the applicability of image analysis technologies.

  • 2010 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2010)

    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.

  • 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)

    The purpose of the Applied Imagery Pattern Recognition (AIPR) annual 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. The papers span a range from research to fielded systems and provide, to managers and developers alike, a broad vision of the applicability of image analysis technologies.

  • 2008 37th IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2008)

    The purpose of AIPR is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range from research to fielded systems and provide a broad vision of the applicability of image analysis technologies.


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.


2011 3rd International Workshop on Education Technology and Computer Science (ETCS)

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.

  • 2010 2nd International Workshop on Education Technology and Computer Science (ETCS)

    The 2nd International Workshop on Education Technology and Computer Science (ETCS2010) will be held on 6-7 March, 2010 in Wuhan, China. The workshop 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.

  • 2009 First International Workshop on Education Technology and Computer Science (ETCS)

    ETCS2009 is organized by Huazhong Universiy of Science and Technology, Harbin Institute of Technology,and supported by IEEE Harbin Section, Huazhong Normal University,Wuhan University. ETCS 2009 will be convened in the magnificent cultural city - Wuhan, China. ETCS 2009 will bring experts from several continents to give presentations, exchange information and learn about the latest developments in the field of education and computer science.


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Periodicals related to Iris

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Circuits and Systems for Video Technology, IEEE Transactions on

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-- ...


Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

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, ...


Systems, Man, and Cybernetics, Part B, IEEE Transactions on

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, ...


Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on

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 ...




Xplore Articles related to Iris

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Attribute weight entropy regularization in fuzzy C-means algorithm for feature selection

Jin Zhou; C. L. Philip Chen Proceedings 2011 International Conference on System Science and Engineering, 2011

In many applications, a cluster structure in a given dataset is often confined to a subset of features rather than the entire feature set. One of the main problems is how to make use of all the features effectively and adequately to discover structures. By using weighted dissimilarity measure and adding weight entropy regularization term to the objective function, a ...


A novel clustering-neural tree for pattern classification

Zhong-Qiu Zhao; De-Shuang Huang; Lin Guo 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004

When performing classification of large set of samples, neural tree classifiers (NTs) are preferred. However, the classical NTs have poor generalization properties. So, in this paper we propose a new classification method referred to as clustering-neural tree classifier, combining clustering technique with neural networks. It can be well applied to classifications of large set of samples, while having good generalization ...


Leveraging Height in a Jumping Sensor Network to Extend Network Coverage

Fernando J. Cintron; Kanthakumar Pongaliur; Matt W. Mutka; Li Xiao; Jianguo Zhao; Ning Xi IEEE Transactions on Wireless Communications, 2012

With respect to ground level, wireless communication signal strength increases with the elevation of communicating wireless sensor network devices, within practical bounds. Jumping sensors are mobile sensors that provide relocation capabilities and a temporary increase in elevation can be utilized for improving communication. This paper provides a comprehensive multidimensional analysis for jumping sensors. It studies the main factors that impact ...


Codes for the correction of 'clustered' errors

S. Reiger IRE Transactions on Information Theory, 1960

A method is described which permits the systematic construction of codes capable of error-free transmission, provided errors occur in "clusters" of limited duration. The method is valid for error clusters of any prescribed duration. The codes are relatively easy to implement and decoding operations are straightforward. Specific examples are given and applications to teletype transmission are discussed.


An effective real time update rule for improving performances both the classification and regression problems in kernel methods

Eun-Mi Kim; Bae-Ho Lee Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05), 2005

It is general solution to get an answer from both classification and regression problem that information in real world matches matrices. This paper treats primary space as a real world, and dual space that primary spaces transfers to new matrices using kernel. In practical study, there are two kinds of problems, complete system which can get an answer using inverse ...


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Educational Resources on Iris

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eLearning

Attribute weight entropy regularization in fuzzy C-means algorithm for feature selection

Jin Zhou; C. L. Philip Chen Proceedings 2011 International Conference on System Science and Engineering, 2011

In many applications, a cluster structure in a given dataset is often confined to a subset of features rather than the entire feature set. One of the main problems is how to make use of all the features effectively and adequately to discover structures. By using weighted dissimilarity measure and adding weight entropy regularization term to the objective function, a ...


A novel clustering-neural tree for pattern classification

Zhong-Qiu Zhao; De-Shuang Huang; Lin Guo 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541), 2004

When performing classification of large set of samples, neural tree classifiers (NTs) are preferred. However, the classical NTs have poor generalization properties. So, in this paper we propose a new classification method referred to as clustering-neural tree classifier, combining clustering technique with neural networks. It can be well applied to classifications of large set of samples, while having good generalization ...


Leveraging Height in a Jumping Sensor Network to Extend Network Coverage

Fernando J. Cintron; Kanthakumar Pongaliur; Matt W. Mutka; Li Xiao; Jianguo Zhao; Ning Xi IEEE Transactions on Wireless Communications, 2012

With respect to ground level, wireless communication signal strength increases with the elevation of communicating wireless sensor network devices, within practical bounds. Jumping sensors are mobile sensors that provide relocation capabilities and a temporary increase in elevation can be utilized for improving communication. This paper provides a comprehensive multidimensional analysis for jumping sensors. It studies the main factors that impact ...


Codes for the correction of 'clustered' errors

S. Reiger IRE Transactions on Information Theory, 1960

A method is described which permits the systematic construction of codes capable of error-free transmission, provided errors occur in "clusters" of limited duration. The method is valid for error clusters of any prescribed duration. The codes are relatively easy to implement and decoding operations are straightforward. Specific examples are given and applications to teletype transmission are discussed.


An effective real time update rule for improving performances both the classification and regression problems in kernel methods

Eun-Mi Kim; Bae-Ho Lee Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05), 2005

It is general solution to get an answer from both classification and regression problem that information in real world matches matrices. This paper treats primary space as a real world, and dual space that primary spaces transfers to new matrices using kernel. In practical study, there are two kinds of problems, complete system which can get an answer using inverse ...


More eLearning Resources

IEEE-USA E-Books

  • Asymmetrical DualMode TE102/TE301 Thick Iris Rectangular InLine Waveguide Filters with Transmission Zeros

    This chapter contains sections titled: Introduction TE102/TE301 Filters Synthesis of Low-Pass Asymmetrical Generalized Chebyshev Filters Design Method Design Example Realizations and Measured Performance Conclusions References

  • Electromagnetic Boundary Value Problems

    This chapter contains sections titled: Introduction SLP1 Extension to Three Dimensions SLP1 in Two Dimensions SLP2 and SLP3 Extension to Three Dimensions The Parallel Plate Waveguide Iris in Parallel Plate Waveguide Aperture Diffraction Scattering by a Perfectly Conducting Cylinder Perfectly Conducting Circular Cylinder Dyadic Green's Functions This chapter contains sections titled: Problems References

  • Iris Recognition

    This chapter contains sections titled: Introduction Iris Image Acquisition Image Preprocessing Feature Extraction Recognition Real-World Deployment of Iris Recognition System Summary References

  • A Comparative Survey on Biometric Identity Authentication Techniques Based on Neural Networks

    This chapter contains sections titled: Introduction Voice Biometric Iris Scan Biometric Fingerprint Biometric Palm Print Biometric Facial Biometric Combining Biometric Techniques Comparative Survey Conclusion References



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