Principal component analysis

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Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. (Wikipedia.org)






Conferences related to Principal component analysis

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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


2017 11th Asian Control Conference (ASCC)

A broad in its scope, the ASCC 2017 Program addresses a spectrum of theoretical topics and a range of applications from industrial automation, robotics and mechatronics to process industries, manufacturing, transport, biology, medical and financial systems, cyber security, communication, education and social impact studies, etc.

  • 2015 10th Asian Control Conference (ASCC)

    Emerging Control Techniques for a Sustainable World

  • 2013 9th Asian Control Conference (ASCC)

    Topics of interest include, but are not limited to:System TheoryNonlinear ControlAdaptive Control and TuningMultivariable Control Predictive ControlFuzzy Neural SystemsEnergy TechnologyMechatronics Complex Systems and NetworksProcess and Chemical Systems Real-Time Systems Aerospace Identification and Estimation Linear Control Robust ControlOptimal Control and OptimizationIntelligent and Learning Control Fault DetectionDiscrete Event Systems Signal ProcessingRobotics and Motion Control Manufacturing Systems Power SystemsSystem BiologyEnvironmental and BioengineeringHuman-Machine SystemsTransportation SystemsAI and Expert SystemsComputational IntelligencePattern Recognition

  • 2011 8th Asian Control Conference (ASCC 2011)

    Asian Control Conference is a major international conference sponsored by Asian Control Association. ASCC 2011 will be an excellent opportunity for automatic control researchers and engineers from academia and industries to exchange their research results and new findings.

  • 2009 7th Asian Control Conference (ASCC 2009)

    system theory, control theory, control practice, control education, information technology, mechatronics, robotics, guidance and navigation, measurement and sensing, instrumentation, identification and estimation, optimization, financial engineering, aerospace systems, fault detecction, simulation, CAD, signal processing, manufacturing, transportation, power systems, environmental systems, bio systems

  • 2004 5th Asian Control Conference (ASCC 2004)


2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017)

The IEEE conference series on Automatic Face and Gesture Recognition is the premier international forum for research in image and video-based face, gesture, and body movement recognition. Its broad scope includes: advances in fundamental computer vision, pattern recognition and computer graphics; machine learning techniques relevant to face, gesture, and body motion; new algorithms and applications. The conference presents research that advances the state-of-the-art in these and related areas, leading to new capabilities in various application domains.


2017 13th International Conference on Emerging Technologies (ICET)

IEEE ICET is held every year and ICET 2017 will be the 13 in the series. It has become a prestigious technical conference with a scope covering new and exciting technologies and research areas, thereby inviting interest of a large audience. The conference targets research presentations by academic and professional researchers, and also includes invited talks and a series of tutorials enabling participants to learn about the latest trends in technology. Research contributions are expected from the participants, covering various disciplines under IEEE's domain, including technical papers, panel discussions, tutorials and project exhibitions. Technical papers describing original, previously unpublished work, are solicited in the areas of communications, computers, control, electronics, information technology, power and in the relevant areas of interest.

  • 2016 International Conference on Emerging Technologies (ICET)

    Conference scope covers original research contributions in emerging technologies in the field of engineering and applied sciences from academia and professionals. The conference includes technical papers, panel discussions, tutorials to cover latest technological trends.

  • 2015 International Conference on Emerging Technologies (ICET)

    The scope of conference is based on science-based innovations with the potential to create anew industry or transform an existing one which can substantially alter the business and social environment. The 11th ICET 2015 will cover multidisciplinary topics related to science and emerging technologies that fall in the scope of Conference which include Communications, Signal and Image Processing, Power, Computational, Integrative and Synthetic and Bio sciences.

  • 2014 International Conference on Emerging Technologies (ICET)

    ICET 2014 will attract leading researchers from academia and practitioners from industry in Pakistan and abroad to share their innovative ideas, experiences, and cutting edge research. We invite authors to submit high quality original papers. We solicit original and high quality papers that discuss the technical solutions to significant research problems. The paper should provide a clear motivation for solving the problem being addressed, the relevant literature review, and the proposed scientific solution. The paper should also highlight the benefits of the proposed solution. For the first time in Pakistan, ICET 2014 is also soliciting industry experience/application papers. We welcome high quality papers from industry practitioners describing experiences of applying various methods, tools, or techniques in any of the conference areas. The objective of such papers is to stimulate discussions and exchanging ideas between industry and research participants of the conference.

  • 2013 International Conference on Emerging Technologies (ICET)

    Conference scope covers original research contibutions in emerging technologiesfrom academia and professionals. The conference includes technical papers, panel discussions, tutorialsand PhD Symposia to cover latest technological trends.

  • 2011 7th International Conference on Emerging Technologies (ICET)

    The conference aims to have research presentation from a wide range of academic and professional backgrounds. The topics include Health informatics, Semantic Web, Information Security, Grid and Cloud Computing, Knowledge Management & discovery, Software Engineering, Signal & Image Processing, Embedded system design and verification, Wireless and Sensor Networks, Optical Networks and systems, Computer and Communication networks, Microwave and Wireless communication

  • 2010 International Conference on Emerging Technologies (ICET)

    The conference aims to have research presentations from a wide range of academic and professional backgrounds. The topics include, communications, Artificial Intelligence, Algorithms, Embedded Systems, Computer Vision and Graphics, Databases, Electronic Devices, Circuits and Systems, Microwave and Optoelectronics, Modeling & Simulation, Natural Language Processing, Power Systems, Software Engineering, Ubiquitous Computing

  • 2009 International Conference on Emerging Technologies (ICET)

    The conference aims to have research presentations from a wide range of academic and professional backgrounds. The topics include, communications, Artificial Intelligence, Algorithms, Embedded Systems, Computer Vision and Graphics, Databases, Electronic Devices, Circuits and Systems, Microwave and Optoelectronics, Modeling & Simulation, Natural Language Processing, Power Systems, Software Engineering, Ubiquitous Computing

  • 2008 International Conference on Emerging Technologies (ICET)

    To create an environment where scientists and engineers can share their research. To create a platform for discussing current problems in scientific and technical exploration. To benchmark Pakistani research with international standards by inviting distinguished scientists and engineers from abroad as guest lecturers and speakers. To provide a liaison between the electronics/computers industry in Pakistan with academia and pure research organizations.

  • 2007 International Conference on Emerging Technologies (ICET)

  • 2006 International Conference on Emerging Technologies (ICET)

  • 2005 International Conference on Emerging Technologies (ICET)


2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2016 12th International Conference on Natural Computation and 13th Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)

    International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, robotics, communications, and more.

  • 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, Bioinformatics and Bio-Medical Informatics, Genomics, Proteomics, Big Data, Databases and Applications, Semi-Structured/Unstructured Data Mining, Multimedia Mining, Web and Text Data Mining, Graphic Model Discovery, Data Warehousing and OLAP, Pattern Recognition and Diagnostics, etc..

  • 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware

  • 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy sets, rough sets, Statistical methods, Parallel/ Distributed data mining, KDD Process and human interaction, Knowledge management, Knowledge visualization, Reliability and robustness, Knowledge Discovery in Specific Domains, High dimensional data, Temporal data, Data streaming, Scientific databases, Semi-structured/unstructured data, Multimedia, Text, Web and the Internet, Graphic model discovery, Software warehouse and software mining, Data engineering, Communications and networking, Software engineering, Distributed systems and computer hardware, etc.

  • 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD is an international forum on fuzzy systems and knowledge discovery. Specific topics include fuzzy theory and foundations; stability of fuzzy systems; fuzzy methods and algorithms; fuzzy image, speech and signal processing; multimedia; fuzzy hardware and architectures; data mining.

  • 2007 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

    FSKD '07 covers all aspects of fuzzy systems and knowledge discovery, including recent theoretical advances and interesting applications, for example, fuzzy theory and models, mathematical foundation of fuzzy systems, fuzzy image/signal processing, fuzzy control and robotics, fuzzy hardware and architectures, fuzzy systems and the internet, fuzzy optimization and modeling, fuzzy decision and support, classification, clustering, statistical methods, knowledge etc.


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Periodicals related to Principal component analysis

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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.


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.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Fuzzy Systems, IEEE Transactions on

Theory and application of fuzzy systems with emphasis on engineering systems and scientific applications. (6) (IEEE Guide for Authors) Representative applications areas include:fuzzy estimation, prediction and control; approximate reasoning; intelligent systems design; machine learning; image processing and machine vision;pattern recognition, fuzzy neurocomputing; electronic and photonic implementation; medical computing applications; robotics and motion control; constraint propagation and optimization; civil, chemical and ...


Geoscience and Remote Sensing Letters, IEEE

It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...


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Most published Xplore authors for Principal component analysis

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Xplore Articles related to Principal component analysis

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Anatomically-Constrained PCA for Image Parcellation

Paramveer S. Dhillon; James C. Gee; Lyle Ungar; Brian Avants 2013 International Workshop on Pattern Recognition in Neuroimaging, 2013

Traditionally clinicians and medical researchers have been using either totally data driven approaches like PCA/CCA/ICA or ROI based analysis for exploratory analysis of brain images. However, PCA/CCA/ICA based approaches suffer from lack of interpretability of results and on the other hand ROI based approaches are too rigid and wrongly assume that the signal lies totally within a predefined region. In ...


Decision Fusion for Patch-Based Face Recognition

Berkay Topcu; Hakan Erdogan 2010 20th International Conference on Pattern Recognition, 2010

Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusions. Feature fusion and decision fusion are two distinct ways to make use of the extracted local features. Apart from the well-known decision fusion methods, a novel approach for calculating weights for the ...


A Semi-Supervised Relief Based Feature Extraction Algorithm

Xiaoming Liu; Jinshan Tang; Jun Liu; Zhilin Feng 2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008

Local Feature Extraction (LFE) algorithm is an effective feature extraction method developed in recent years. One of the shortcomings of the current LFE algorithm is that it can only process labeled data, and does not work well when the amount of the labeled data is limited. However, it is usually easy to obtain large amount of unlabeled data but only ...


A Novel Features Extracting Technique Useing Location in Face Recognition

Da-peng Gao; Qing-xing Zhu; Xing-jiang Yang; Chao-rong Li 2012 International Conference on Computer Science and Electronics Engineering, 2012

In PCA for the face recognition technique, computing the eigenvalues of the image matrix is the first step. Then these eigenvalues are sorted in descending order. A certain number of vectors, which correspond with these eigenvalues, are chosen by descending order and regarded as features of the face. Furthermore, these features show the whole image's characters. There are differences between ...


A data-driven approach for sensor fault diagnosis in gearbox of wind energy conversion system

Minjia Kruger; Steven X. Ding; Adel Haghani; Peter Engel; Torsten Jeinsch 2013 10th IEEE International Conference on Control and Automation (ICCA), 2013

Due to the increase in worldwide energy demand, wind energy technology has been developed rapidly over the past years. With a fast growing of wind power installed capacity, an efficient monitoring system for wind energy conversion system (WEC) is required to ensure operational reliability, high availability of energy production and at the same time reduce operating and maintenance (O&M) costs. ...


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Educational Resources on Principal component analysis

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eLearning

Anatomically-Constrained PCA for Image Parcellation

Paramveer S. Dhillon; James C. Gee; Lyle Ungar; Brian Avants 2013 International Workshop on Pattern Recognition in Neuroimaging, 2013

Traditionally clinicians and medical researchers have been using either totally data driven approaches like PCA/CCA/ICA or ROI based analysis for exploratory analysis of brain images. However, PCA/CCA/ICA based approaches suffer from lack of interpretability of results and on the other hand ROI based approaches are too rigid and wrongly assume that the signal lies totally within a predefined region. In ...


Decision Fusion for Patch-Based Face Recognition

Berkay Topcu; Hakan Erdogan 2010 20th International Conference on Pattern Recognition, 2010

Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusions. Feature fusion and decision fusion are two distinct ways to make use of the extracted local features. Apart from the well-known decision fusion methods, a novel approach for calculating weights for the ...


A Semi-Supervised Relief Based Feature Extraction Algorithm

Xiaoming Liu; Jinshan Tang; Jun Liu; Zhilin Feng 2008 Second International Conference on Future Generation Communication and Networking Symposia, 2008

Local Feature Extraction (LFE) algorithm is an effective feature extraction method developed in recent years. One of the shortcomings of the current LFE algorithm is that it can only process labeled data, and does not work well when the amount of the labeled data is limited. However, it is usually easy to obtain large amount of unlabeled data but only ...


A Novel Features Extracting Technique Useing Location in Face Recognition

Da-peng Gao; Qing-xing Zhu; Xing-jiang Yang; Chao-rong Li 2012 International Conference on Computer Science and Electronics Engineering, 2012

In PCA for the face recognition technique, computing the eigenvalues of the image matrix is the first step. Then these eigenvalues are sorted in descending order. A certain number of vectors, which correspond with these eigenvalues, are chosen by descending order and regarded as features of the face. Furthermore, these features show the whole image's characters. There are differences between ...


A data-driven approach for sensor fault diagnosis in gearbox of wind energy conversion system

Minjia Kruger; Steven X. Ding; Adel Haghani; Peter Engel; Torsten Jeinsch 2013 10th IEEE International Conference on Control and Automation (ICCA), 2013

Due to the increase in worldwide energy demand, wind energy technology has been developed rapidly over the past years. With a fast growing of wind power installed capacity, an efficient monitoring system for wind energy conversion system (WEC) is required to ensure operational reliability, high availability of energy production and at the same time reduce operating and maintenance (O&M) costs. ...


More eLearning Resources

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