Conferences related to Pattern Recognition

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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


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 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE is the top leading conferencein the area of theory and applications of fuzzy logic.


2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA)

The symposium deals with all the aspects of interactions among the worlds of theinstrumentation and measurement, bio-engineering, material science, chemical and biologicalmeasurements, and the medical field. The symposium enables researchers, doctors andtechnicians to exchange ideas and information, make connections and collaborations andupdate innovation on health care systems and diagnostics in medicine.


2018 IEEE/ACIS 17th International Conference on Computer and Information Science (ICIS)

The 17th International Conference on Computer and Information Science (ICIS 2018) bringstogether scientists, engineers, computer users and students to exchange and share theirexperiences, new ideas and research results about all aspects (theory, applications and tools)of computer and information science and discuss the practical challenges encountered and thesolutions adopted.

  • 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS)

    The 16th International Conference on Computer and Information Science (ICIS 2017) brings together scientists, engineers, computer users and students to exchange and share their experiences, new ideas and research results about all aspects (theory, applications and tools) of computer and information science and discuss the practical challenges encountered and the solutions adopted.

  • 2016 IEEE/ACIS 15th International Conference on Computer and Information Science (ICIS)

    The 15th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2016) brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted.

  • 2015 IEEE/ACIS 14th International Conference on Computer and Information Science (ICIS)

    The 14th IEEE/ACIS International Conference on Computer and Information Science (ICIS 2015) brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted.

  • 2014 IEEE/ACIS 13th International Conference on Computer and Information Science (ICIS)

    The 13th IEEE/ACIS International Conference on Computer and Information Science brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted.

  • 2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)

    ICIS 2013 brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects of computer and information science, and discuss the practical challenges encountered and the solutions adopted. The conference will cover, but not limited to, the following:Algorithms, Artificial Intel, Neural Networks, Bioinformatics, Communication Sys & Net, Component-Based Software Eng, Computer Arch, VLSI, Data Mining, Knowledge Discovery, Data Warehousing & Eng, Distributed Comp, Economic & Financial Sys,Image and Signal Proc, Pattern Rec,Information Systems, Intelligent Agent, Intelligent Control Sys, Internet Tech, e-Commerce, Middleware Arch, Mobile/Wireless Comp, Parallel & Distributed Comp, Programming Lang, Compilers, Operating Systems, Software Arch, Design Patterns, Frameworks, Software Engineering, Software Metrics, Software Reuse, Design Patterns, Software Testing, Technology Education, UML, OO Modelin

  • 2012 IEEE/ACIS 11th International Conference on Computer and Information Science (ICIS)

    The 11th IEEE/ACIS International Conference on Computer and Information Science brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted.

  • 2011 IEEE/ACIS 10th International Conference on Computer and Information Science (ICIS)

    The 10th IEEE/ACIS International Conference on Computer and Information Science brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted. The conference will cover a broad set of research topics including, but not limited to, the following: Algorithms, Artificia

  • 2010 IEEE/ACIS 9th International Conference on Computer and Information Science (ICIS)

    This Conference brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted. The conference will cover a broad set of research topics.

  • 2009 8th IEEE/ACIS International Conference on Computer & Information Science (ICIS)

  • 2008 7th International Conference on Computer & Information Science (ICIS)

    The 7th IEEE/ACIS International Conference on Computer and Information Science brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of computer and information science, and discuss the practical challenges encountered and the solutions adopted

  • 2007 International Conference on Computer & Information Science (ICIS)

  • 2006 International Conference on Computer & Information Science (ICIS)


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Periodicals related to Pattern Recognition

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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.


Circuits and Systems I: Regular Papers, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Pattern Recognition

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Xplore Articles related to Pattern Recognition

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Device for Automatic Particle Size Analysis and the of Sedimentation Using Pattern Recognition

[{u'author_order': 1, u'affiliation': u'Federal University of Goias (UFG), School of Electrical Engineerin, Mechanical and Computer (EMC), Goiás, Goiânia', u'full_name': u'Daniel Martins'}, {u'author_order': 2, u'affiliation': u'Federal University of Goias (UFG), School of Electrical Engineerin, Mechanical and Computer (EMC), Goiás, Goiânia', u'full_name': u'Wesley Pacheco'}, {u'author_order': 3, u'affiliation': u'School of Agronomy and Food Engineering (PPGA), Federal University of Goias (UFG), Goias, Goiania', u'full_name': u'Virg\xednia Damin'}] 2018 IEEE International Conference on Environment and Electrical Engineering and 2018 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), None

This article describes the operation of an device for automatic particle size analysis and the of sedimentation using pattern recognition. The device performs measurement in 32 levels and for each level an electric voltage curve is generated; the combination of the 32 curves forms a data matrix that characterizes the soil sedimentation behavior. The matrix is then subjected to classification ...


Non-negative Structured Pyramidal Neural Network for Pattern Recognition

[{u'author_order': 1, u'affiliation': u'Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil', u'full_name': u'Milla Ferro'}, {u'author_order': 2, u'affiliation': u'Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil', u'full_name': u'Bruno Fernandes'}, {u'author_order': 3, u'affiliation': u'Polytechnic School of Pernambuco - POLI, University of Pernambuco - UPE, Pernambuco, Brazil', u'full_name': u'Carmelo Bastos-Filho'}] 2018 International Joint Conference on Neural Networks (IJCNN), None

Deep learning is a machine learning paradigm that has been widely exploited in the last years due to its high performance in many different problems, most of them related to computer vision. The Structured Pyramidal Neural Network (SPNN) is an artificial neural network which implements some of the deep learning concepts, such as multiple processing layers and receptive fields, with ...


EEG Pattern Recognition using Brain-Inspired Spiking Neural Networks for Modelling Human Decision Processes

[{u'author_order': 1, u'affiliation': u'Knowledge Engineering and Discovery, Research Institute (KEDRI), Auckland, New Zealand', u'full_name': u'Zohreh G Doborjeh'}, {u'author_order': 2, u'affiliation': u'Knowledge Engineering and Discovery, Research Institute (KEDRI), Auckland, New Zealand', u'full_name': u'Maryam Doborjeh'}, {u'author_order': 3, u'affiliation': u'Knowledge Engineering and Discovery, Research Institute (KEDRI), Auckland, New Zealand', u'full_name': u'Nikola Kasabov'}] 2018 International Joint Conference on Neural Networks (IJCNN), None

This paper proposes a method utilising spiking neural networks (SNN) for modelling, visualising and comparing the brain data under complex mental states. The method was applied to a cognitive task performed by 23 participants while they were making decision on a moral dilemma situation- related task. An SNN evolving spatiotemporal data architecture is used to learn and visualise the neural ...


Across-Day Lower Limb Pattern Recognition Performance of a Powered Knee-Ankle Prosthesis

[{u'author_order': 1, u'affiliation': u'Northwestern University, The Department of Physical Medicine and Rehabilitation, Chicago, IL, USA', u'full_name': u'Ann M. Simon'}, {u'author_order': 2, u'affiliation': u'Formerly the Rehabilitation Institute of Chicago, Shirley Ryan AbilityLab, Chicago, IL, USA', u'full_name': u'Emily A. Seyforth'}, {u'author_order': 3, u'affiliation': u'Northwestern University, The Department of Physical Medicine and Rehabilitation, Chicago, IL, USA', u'full_name': u'Levi J. Hargrove'}] 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob), None

Powered lower limb prostheses have the capabilities to assist individuals with a lower limb amputation during ambulation. While these devices can generate power at the knee and/or ankle to assist with incline walking and stair climbing, it is difficult to control the transition between these ambulation modes in a seamless and natural way. Pattern recognition has been suggested as an ...


Development of Semi supervised Classifier for SAR Image Pattern Recognition

[{u'author_order': 1, u'affiliation': u'Department of Electronics & Communication Engineering, Indian Institute of Information Technology, Allahabad, 211015, India', u'full_name': u'Nidhi Verma'}, {u'author_order': 2, u'affiliation': u'Department of Electronics & Communication Engineering, Indian Institute of Information Technology, Allahabad, 211015, India', u'full_name': u'Pankaj Kumawat'}, {u'author_order': 3, u'affiliation': u'Department of Electronics & Communication Engineering, Indian Institute of Information Technology, Allahabad, 211015, India', u'full_name': u'Pooja Mishra'}, {u'author_order': 4, u'affiliation': u'Department of Electronics & Communication Engineering, Indian Institute of Information Technology, Allahabad, 211015, India', u'full_name': u'Neetesh Purohit'}, {u'author_order': 5, u'affiliation': u'Department of Electronics Communication Engineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India', u'full_name': u'Dharmendra Singh'}] 2017 14th IEEE India Council International Conference (INDICON), None

In this paper, new semi-supervised classification method has been developed for polarimetric SAR images. The developed method has been used for classification of various land covers such as tree, grass and land. The present work is primarily devised upon the fusion of unsupervised learning ($k$-means) and supervised learning classifier (support vector machine). Our proposed method requires less training data samples ...


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Educational Resources on Pattern Recognition

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eLearning

No eLearning Articles are currently tagged "Pattern Recognition"

IEEE-USA E-Books

  • Perceptrons and Pattern Recognition

    Many of the theorems show that perceptrons cannot recognize certain kinds of patterns. Does this mean that it will be hard to build machines to recognize those patterns?

  • Pattern Recognition

    This chapter contains sections titled: Learning to Read, Matching Model Granularity, Generative Models, Face Recognition, Speech Recognition, Natural Language Processing and Translation, Combining Multiple Models, Outlier Detection, Dimensionality Reduction, Decision Trees, Active Learning, Learning to Rank, Bayesian Methods

  • Pattern Recognition for Model Testing, Calibration, and Behavior Analysis

    This chapter contains sections titled: Pattern Recognition, Dynamic Modeling and Pattern Recognition, Example Applications, Discussion, Exercise, Notes, References

  • Introduction to Pattern Recognition and Data Mining

    This introductory chapter of the book provides a brief review of pattern recognition, data mining, and application of pattern recognition algorithms in data mining problems. The objective of the book is to provide some results of investigations, both theoretical and experimental, addressing the relevance of rough-fuzzy approaches to pattern recognition with real-life applications. The chapter first briefly presents a description of the basic concept, features, and techniques of pattern recognition. It then elaborates the data mining aspect, discussing its components, tasks involved, approaches, and application areas. The chapter next introduces the pattern recognition perspective of data mining and mentions related research challenges. It describes the role of soft computing in pattern recognition and data mining. Finally, the chapter discusses the scope and organization of the book. fuzzy logic

  • Multiple Level Evolutionary Learning in Neuronal Pattern Recognition

    Enzymatic neurons are model neurons whose input-output behavior is controlled by internal dynamical mechanisms. In the present paper, we report on an enzymatic neuron model in which signal integration is mediated by the subcellular matrix. Readout enzymes that control the output of the neuron are activated by the integration of internal signals in space and time. The dynamics are modeled using a generalized automaton framework that allows for structure-function plasticity. The pattern recognition and generalization capabilities of the neurons are evolved by applying a variation-selection algorithm to both the signal integration dynamics and to the readout enzymes. Evolution of the signal integration dynamics means altering pathways of internal signal flow in the subcellular matrix, while evolution of readout enzymes means altering the firing behavior of the neuron in response to these signals. The neurons are presented with a small set of training inputs (both positive and negative instances) for learning and tested for their generalization properties.

  • Pattern Discovery, Pattern Recognition, and System Identification

    March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series

  • Pattern Recognition

    This chapter contains sections titled: Separating Hyperplanes, The Role of the Margin, Optimal Margin Hyperplanes, Nonlinear Support Vector Classifiers, Soft Margin Hyperplanes, Multi-Class Classification, Variations on a Theme, Experiments, Summary, Problems

  • Visual Pattern Recognition

  • Proteomic Data Analysis: Pattern Recognition for Medical Diagnosis and Biomarker Discovery

  • Energy‐Efficient Pattern Recognition for Wireless Sensor Networks

    This chapter contains sections titled: Introduction Principles of Event Recognition for Sensor Networks Voting Graph Neuron Approach Simulations Comparison Conclusion and Future Work References