Probability distribution

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In probability theory, a probability mass, probability density, or probability distribution is a function that describes the probability of a random variable taking certain values. (Wikipedia.org)






Conferences related to Probability distribution

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2013 13th Canadian Workshop on Information Theory (CWIT)

The 13th Canadian Workshop on Information Theory will take place in Toronto, Ontario, Canada from Tuesday, May 28, to Friday, May 31, 2013. Previously unpublished contributions from a broad range of topics in information theory and its applications are solicited, including (but not limited to) the following areas: Coded modulation, Coding theory and practice, Communication complexity, Communication systems, Cryptology and data security, Data compression, Detection and estimation, Information theory and statistics, Network coding, Interactive information theory, Pattern recognition and learning, Quantum information processing, Shannon theory, Signal processing, Cognitive radio, Cooperative communication, Multi-terminal information theory, and Information theory in biology. International researchers are welcome to attend and present research at this event.


2013 13th International Conference on Control, Automaton and Systems (ICCAS)

Control Theory and Application, Intelligent Systems, Industrial Applications of Control,Sensor and Signal Processing, Control Devices and Instruments, Robot Control, RobotVision, Human-Robot Interaction, Robotic Applications, Unmanned Vehicle Systems...


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 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Pattern Recognition, Biometrics, Inductive learning, Evolutionary computation, Bioinformatics, Data mining, Information retrieval, Intelligent agent, Financial engineering, Rough Set, Applications.

  • 2011 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics.

  • 2010 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics, Informat

  • 2009 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics, Informat

  • 2008 International Conference on Machine Learning and Cybernetics (ICMLC)

    Adaptive systems, Neural net and support vector machine, Business intelligence, Hybrid and nonlinear system, Biometrics, Fuzzy set theory, fuzzy control and system, Bioinformatics, Knowledge management, Data and web mining, Information retrieval, Intelligent agent, Intelligent and knowledge based system, Financial engineering, Rough and fuzzy rough set, Inductive learning, Networking and information security, Geoinformatics, Evolutionary computation, Pattern Recognition, Ensemble method, Logistics, Informat

  • 2007 International Conference on Machine Learning and Cybernetics (ICMLC)

    Multiple themes included: Generalization Error Model for Pattern Classification, Rough Sets and Fuzzy Rough Sets, Multiple Classifier Systems, Computation Life Science and Bioinformatics, Media Computing, Web Intelligent Computing. Topics included: Adaptive systems, Neural nets and support vector machines, Business intelligence, Hybrid and nonlinear systems, Fuzzy theory, control and systems, Data and web mining, Information retrieval, intelligent agent etc.

  • 2006 International Conference on Machine Learning and Cybernetics (ICMLC)

  • 2005 International Conference on Machine Learning and Cybernetics (ICMLC)


2012 IEEE International Conference on Automation and Logistics (ICAL)

Automation, logistics, and related areas.


2011 9th IEEE International Conference on Control and Automation (ICCA)

IEEE ICCA 2001 aims to create a forum for scientists and practicing engineers throughout the world to present the latest research findings and ideas in the areas of control and automation.



Periodicals related to Probability distribution

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Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


Information Theory, IEEE Transactions on

The fundamental nature of the communication process; storage, transmission and utilization of information; coding and decoding of digital and analog communication transmissions; study of random interference and information-bearing signals; and the development of information-theoretic techniques in diverse areas, including data communication and recording systems, communication networks, cryptography, detection systems, pattern recognition, learning, and automata.


Medical Imaging, IEEE Transactions on

Imaging methods applied to living organisms with emphasis on innovative approaches that use emerging technologies supported by rigorous physical and mathematical analysis and quantitative evaluation of performance.


Power Systems, IEEE Transactions on

Requirements, planning, analysis, reliability, operation, and economics of electrical generating, transmission, and distribution systems for industrial, commercial, public, and domestic consumption.


Signal Processing Letters, IEEE

Rapid dissemination of new results in signal processing world-wide.




Xplore Articles related to Probability distribution

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The use of entropy for colour edge detection

Fotinos, A.; Economou, G.; Zigouris, E.; Fotopoulos, S. Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on, 1999

The edge detection of images is a widely discussed topic and several methods have been presented. In this work the vector nature of the color image is retained assuming the RGB space as the standard processing space. The proposed statistical approach is based on entropy and relative entropy operator using the Parzen kernels to estimate the local density distribution. Experimental ...


Fast mode decision and motion estimation for AVS

Li Fu-jiang; Zhang Gang; Wang Cui Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on, 2009

AVS video coding standard can achieve considerably high coding efficiency. Unfortunately this comes at a come in considerably increased complexity at the encoder due to mode decision and motion estimation. In this paper, we propose fast inter-prediction mode decision based on probability distribution algorithm and improved small diamond-shaped pattern search algorithm to optimize motion estimation and mode decision. The experimental ...


Robust tracking of stochastic deformable models in long image sequences

Kervrann, C.; Heitz, F. Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference, 1994

We describe a method for the temporal tracking of stochastic deformable models in long image sequences. The object representation relies on a hierarchical statistical description of the deformations applied to a template. A Bayesian estimate of the deformations is obtained by maximizing a highly non-linear joint probability distribution. Time consuming global (stochastic) optimization techniques are necessary to obtain optimal solutions ...


Research of Applying Chain Conditional Random Fields to Semantic Role Labeling

Ming Li; Yabin Wang; Fuzhong Nian; Xuyang Wang Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on, 2009

The conditional random fields (CRFs) only can deal with the sequence data of Markov property. And it cannot realize the relationship labeling with more fine structure between semantic roles. An approach to semantic role labeling (SRL) based on chain conditional random fields (CCRFs) model was proposed. The long-distance dependencies between different state variants were handled effectively via labeling hierarchical dependencies ...


Placement of DG sources using a clustering based partitioning method in distribution systems

Scarlatache, F.; Grigoras, G. Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on, 2015

This paper proposes a decision making methodology using clustering methods and fuzzy techniques to determine the optimal location of distributed generation sources into an electrical distribution system. Based on the operational characteristics (loss sensitivity factor and voltage values in nodes) first of all was found the optimal distribution network partitioning, using k-means clustering method and after that were used fuzzy ...


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Educational Resources on Probability distribution

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eLearning

The use of entropy for colour edge detection

Fotinos, A.; Economou, G.; Zigouris, E.; Fotopoulos, S. Electronics, Circuits and Systems, 1999. Proceedings of ICECS '99. The 6th IEEE International Conference on, 1999

The edge detection of images is a widely discussed topic and several methods have been presented. In this work the vector nature of the color image is retained assuming the RGB space as the standard processing space. The proposed statistical approach is based on entropy and relative entropy operator using the Parzen kernels to estimate the local density distribution. Experimental ...


Fast mode decision and motion estimation for AVS

Li Fu-jiang; Zhang Gang; Wang Cui Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on, 2009

AVS video coding standard can achieve considerably high coding efficiency. Unfortunately this comes at a come in considerably increased complexity at the encoder due to mode decision and motion estimation. In this paper, we propose fast inter-prediction mode decision based on probability distribution algorithm and improved small diamond-shaped pattern search algorithm to optimize motion estimation and mode decision. The experimental ...


Robust tracking of stochastic deformable models in long image sequences

Kervrann, C.; Heitz, F. Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference, 1994

We describe a method for the temporal tracking of stochastic deformable models in long image sequences. The object representation relies on a hierarchical statistical description of the deformations applied to a template. A Bayesian estimate of the deformations is obtained by maximizing a highly non-linear joint probability distribution. Time consuming global (stochastic) optimization techniques are necessary to obtain optimal solutions ...


Research of Applying Chain Conditional Random Fields to Semantic Role Labeling

Ming Li; Yabin Wang; Fuzhong Nian; Xuyang Wang Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on, 2009

The conditional random fields (CRFs) only can deal with the sequence data of Markov property. And it cannot realize the relationship labeling with more fine structure between semantic roles. An approach to semantic role labeling (SRL) based on chain conditional random fields (CCRFs) model was proposed. The long-distance dependencies between different state variants were handled effectively via labeling hierarchical dependencies ...


Placement of DG sources using a clustering based partitioning method in distribution systems

Scarlatache, F.; Grigoras, G. Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on, 2015

This paper proposes a decision making methodology using clustering methods and fuzzy techniques to determine the optimal location of distributed generation sources into an electrical distribution system. Based on the operational characteristics (loss sensitivity factor and voltage values in nodes) first of all was found the optimal distribution network partitioning, using k-means clustering method and after that were used fuzzy ...


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