Conferences related to Gaussian distribution

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 9th International Particle Accelerator Conference (IPAC)

Topics cover a complete survey of the field of charged particle accelerator science and technology and infrastructure.


2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

The Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) is one of the premier conferences in the wireless research arena and has a long history of bringing together academia, industry and regulatory bodies. Today, it has become one of the IEEE Communication Society’s major conferences in wireless communications and networks. The topics cover the physical layer (PHY) and fundamentals of wireless communications, medium access control (MAC) and cross-layer design, mobile and wireless networks, as well as services, applications, and business.


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Periodicals related to Gaussian distribution

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


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Most published Xplore authors for Gaussian distribution

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Xplore Articles related to Gaussian distribution

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Statistical Sinogram Smoothing for Low-Dose CT With Segmentation-Based Adaptive Filtering

[{u'author_order': 1, u'affiliation': u"School of Computer Science and Technology, Xidian University, Xi'an, China", u'full_name': u'Yuanke Zhang'}, {u'author_order': 2, u'affiliation': u"School of Computer Science and Technology, Xidian University, Xi'an, China", u'full_name': u'Junying Zhang'}, {u'author_order': 3, u'affiliation': u"Department of Biomedical Engineering/Computer Application, Fourth Military Medical University, Xi'an, China", u'full_name': u'Hongbing Lu'}] IEEE Transactions on Nuclear Science, 2010

As is known, noises in calibrated and log-transformed projection data of low- mA (or low-dose) CT protocol follow approximately a non-stationary Gaussian distribution. In this study, we further demonstrate that some isolated noise points would not satisfy the above observation. Hence, we propose a noise reduction scheme which includes isolated data removal and segmentation-based filtering. In this scheme, an isolated ...


Analysis of blur characteristics on 3D displays

[{u'author_order': 1, u'affiliation': u'Samsung Advanced Institute of Technology, Samsung Electronics, 130 Samsung-ro, Yoeongtong-gu, Suwon-si, Korea', u'full_name': u'Dongkyung Nam'}, {u'author_order': 2, u'affiliation': u'Samsung Advanced Institute of Technology, Samsung Electronics, 130 Samsung-ro, Yoeongtong-gu, Suwon-si, Korea', u'full_name': u'Yang-Ho Cho'}, {u'author_order': 3, u'affiliation': u'Samsung Advanced Institute of Technology, Samsung Electronics, 130 Samsung-ro, Yoeongtong-gu, Suwon-si, Korea', u'full_name': u'Du-sik Park'}] 2016 15th Workshop on Information Optics (WIO), None

This paper analyzes the image blur characteristics on autostereoscopic 3D (A3D) displays. The A3D displays have an advantage in providing the stereoscopic vision to users without glasses, but the users suffer from the blurred image especially when the depth of image increases. We have analyzed the relationship between the light distribution of the generated rays and the blur characteristics of ...


Failure Probabilities of Existing Overhead Shield Wires

[{u'author_order': 1, u'affiliation': u'Lines Eng., Hydro One Inc., Toronto, ON', u'full_name': u'Ibrahim Hathout'}, {u'author_order': 2, u'affiliation': u'Dept. of Syst. Design, Univ. of Waterloo, Waterloo, ON', u'full_name': u'Linda Vu'}] Proceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems, None

The objective of this paper is to introduce analytical models for accurate prediction of failure probabilities of existing shield wires and to recommend a time window for wire replacement at an acceptable failure threshold. Ductile and strength tests results and failures records of shield wires were examined to determine the trend of wires deteriorations as they age. Since most of ...


Strategic bids in liberalized markets

[{u'author_order': 1, u'affiliation': u'ISEL, Instituto Superior de Engenharia de Lisboa, Rua Conselheiro Emídio Navarro, 1, 1959 ¿ 007, Portugal', u'full_name': u'Nuno Domingues'}, {u'author_order': 2, u'affiliation': u'ISEL, Instituto Superior de Engenharia de Lisboa, Rua Conselheiro Emídio Navarro, 1, 1959 ¿ 007, Portugal', u'full_name': u'Victor Mendes'}] 2008 5th International Conference on the European Electricity Market, None

This paper presents results of a study concerning the generation strategic bids for a single hour. In this study we incorporated the price and quantity bids. We considered an elastic demand curve, approximated by an affine function, assuming that there is consumer's reaction and that the market price and the demand are related. Also, we consider the competitors reaction using ...


Microwave imaging of three-dimensional malignant breast tumors employing an enhanced evolution strategy

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA', u'full_name': u'P. Rashidi'}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., Arkansas Univ., Fayetteville, AR, USA', u'full_name': u'M. Ei-Shenawee'}, {u'author_order': 3, u'full_name': u'D. Macias'}] 2005 IEEE Antennas and Propagation Society International Symposium, None

An enhanced optimization technique based on evolution strategies is investigated and applied to the estimation of some unknown parameters that determine the shape and location of malignant breast tumors. The tumor reconstruction is achieved through the minimization of an error function defined between the measured information and the scattered data generated numerically. Our preliminary results show that using Cauchy's distribution ...


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Educational Resources on Gaussian distribution

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eLearning

No eLearning Articles are currently tagged "Gaussian distribution"

IEEE-USA E-Books

  • Statistical Measures of Dependence for Financial Data

    This chapter provides the statistical measures of dependence for financial data. The analysis of financial and econometric data is typified by non- Gaussian multivariate observations that exhibit complex dependencies: heavy- tailed and skewed marginal distributions are commonly encountered; serial dependence, such as autocorrelation and conditional heteroscedasticity. When data are assumed to be jointly Gaussian, all dependence is linear, and therefore only pairwise among the variables. In this setting, Pearson's product-moment correlation coefficient uniquely characterizes the sign and strength of any such dependence. The chapter shows that copulas can be used to model the dependence between random variables. It turns our attention to the dependence structure itself, and when appropriate makes connections to copulas. The chapter describes different types of dependence, and then provides theoretical background.

  • Risk Evaluation Techniques for Power Systems

    Power systems are divided into the functional zones of generation, transmission, substation, and distribution. This chapter illustrates the risk evaluation techniques for generation, distribution, substation, and composite generation and transmission systems. For each functional zone, both analytical and Monte Carlo simulation methods are discussed, system analysis techniques are presented, and the formulas of risk indices are derived. The risk indices are the numerical results of power system risk assessment. The calculation formulas of the indices for generation, distribution, substation, and composite generation and transmission systems have been developed in the chapter.

  • The Normal Random Process: Gaussian Functionals

  • Gaussian Distribution Theory: Univariate Case

    This chapter presents a survey of salient results in the distributional study of error rates of Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) under an assumption of Gaussian populations. It concentrates on results for the separate-sampling population-specific error rates. The chapter presents results for the first moment of the true error and several error estimators for the separate-sampling case. An exact expression for the second-order moments of the true error is also given. The chapter also displays the RMS of the separate-sampling resubstitution and leave-one-out estimators of the overall error rate. It provides exact expressions for the marginal sampling distributions of the classical mixture-sampling resubstitution and leave-one-out estimators and discusses the joint sampling distribution and density of each of these error estimators and the true error in the univariate Gaussian case, and some of its applications, using results published in Zollanvari et al.

  • Outage Models of System Components

    This chapter systematically discusses the outage models of system components. Generally, component outages can be divided into two categories: independent and dependent. The independent outage modes of power system components are categorized as follows: forced outage (repairable forced failure and nonrepairable forced failure), planned outage, semiforced outage, partial failure mode and multiple failure mode. Nonrepairable forced failure includes aging failure and chance failure. The aging failure mode of components should be incorporated in risk evaluation when components approach the end of their lives. Dependent outages can be classified as: common-cause outage, component- group outage, station-originated outage, cascading outage and environment- dependent failure. The common characteristic of all the dependent outage modes is that an outage state includes outages of more than one component. Dependent outages generally produce much more severe consequences than independent outages.

  • Simulation Methods for Fractal Processes

    This chapter contains sections titled: Fractional Brownian Motion Fractional Gaussian Noise Regression Models of Traffic Fractal Point Process Fractional Levy Motion and its Application to Network Traffic Modelling Models of Multifractal Network Traffic LRD Traffic Modelling with the Help of Wavelets _M/G/_∞Model References

  • How to Use Statistics to Ensure a Manufacturable Design

    This chapter contains sections titled: * Independent Component Failures * Using the Gaussian Distribution * Setting a Manufacturing Test Limit * Procuring a Custom Component * Problems

  • Some Probability Techniques

    This chapter explains different probability techniques used in Tunny work. The discussions presented here are mainly a list of definitions, notations and theorems. It begins with symbols used in symbolic logic, simple probability notations, the laws of probability and some theorems, including Bayes?> theorem, theorem of the weighted average of factors, and theorem of the chain of witnesses. In addition a general formula for sigma in Tunny work and the principle of maximum likelihood are discussed.

  • The Normal Random Process: Gaussian Variates

  • Bayesian MMSE Error Estimation

    This chapter presents some remarks on application and extension of the Bayesian theory. A minimum mean-square error (MMSE) estimator of the error can be found, in which the uncertainty will manifest itself in a Bayesian framework relative to a space of feature-label distributions and random samples. The standard approach to evaluating the performance of an error estimator is to find its MSE (RMS) for a given feature-label distribution and classification rule. When considering Bayesian MMSE error estimation, there are two sources of randomness: the sampling distribution and uncertainty in the underlying feature-label distribution. For discrete classification the chapter considers an arbitrary number of bins with generalized beta priors. Linear classification of Gaussian distributions and consistency of Bayesian MMSE error estimators are also discussed. Finally, the chapter discusses how a classical ad hoc error estimator is calibrated based on the Bayesian framework.



Standards related to Gaussian distribution

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IEEE Standard for Broadband over Power Line Networks: Medium Access Control and Physical Layer Specifications

The project defines a standard for high-speed (>100 Mbps at the physical layer) communication devices via electric power lines, so-called broadband over power line (BPL) devices. This standard uses transmission frequencies below 100 MHz. It is usable by all classes of BPL devices, including BPL devices used for the first-mile/last-mile connection (<1500 m to the premise) to broadband services as ...



Jobs related to Gaussian distribution

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