Conferences related to Detection algorithms

Back to Top

2020 42nd Annual International Conference of the IEEE Engineering in Medicine & 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


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


More Conferences

Periodicals related to Detection algorithms

Back to Top

Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


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 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-- ...


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.)


More Periodicals

Most published Xplore authors for Detection algorithms

Back to Top

Xplore Articles related to Detection algorithms

Back to Top

Quadratic tests for detection of abrupt changes in multivariate signals

IEEE Transactions on Signal Processing, 1999

This article considers the problem of detecting abrupt changes in the mean of a multivariate Gaussian random signal. A fixed sample size /spl chi//sup 2/-test is compared against the optimum sequential tests (/spl chi//sup 2/-CUSUM and /spl chi//sup 2/-GLR).


A detection algorithm for islanding-prevention of dispersed consumer-owned storage and generating units

2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309), 2002

Summary form only given as follows. One of critical concerns in the operation of grid-connected dispersed generating units is the occurrence of islanding. It is known that the islanding may pose hazards to utility personnel and complicate the orderly reconnection of the grid. Hence, in this paper, a new algorithm based on the monitoring of the change in /spl delta/f//spl ...


Recursive Tracking Of Vascular Trees In Angiograms Using A Detection-deletion Scheme

[1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1990

None


A Multi-Layer Video Browsing System

Proceedings of International Conference on Consumer Electronics, 1995

None


Abrupt scene change detection based on the temporal activity distributions

Proceedings of APCCAS'96 - Asia Pacific Conference on Circuits and Systems, 1996

In this paper, an abrupt scene change detection algorithm is suggested. The algorithm is developed based on the temporal activity distribution that derived from the temporal subband analysis. Computer simulation results show that the proposed scheme is capable of detecting abrupt scene changes in video sequence accurately and efficiently.


More Xplore Articles

Educational Resources on Detection algorithms

Back to Top

IEEE.tv Videos

Multiple Sensor Fault Detection and Isolation in Complex Distributed Dynamical Systems
Fragility of Interconnected Cyber-Physical Systems - Marios M. Polycarpou - WCCI 2016
An FPGA-Quantum Annealer Hybrid System for Wide-Band RF Detection - IEEE Rebooting Computing 2017
Multi-Function VCO Chip for Materials Sensing and More - Jens Reinstaedt - RFIC Showcase 2018
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
IMS 2012 Microapps - Custom OFDM Validation of Wireless/Military DSP Algorithms and RF Components Daren McClearnon, Jin-Biao Xu, Agilent EEsof
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
Critical use cases for video capturing systems in autonomous driving applications
Cultural Algorithms: Harnessing the Power of Social Intelligence 1
Optimization Algorithms for Signal Processing
Cultural Algorithms: Harnessing the Power of Social Intelligence 2
Developing Automated Analysis Tools for Space/Time Sidechannel Detection - IEEE SecDev 2016
IEEE Medal for Environmental and Safety Technologies - Jerome Faist and Frank K. Tittell - 2018 IEEE Honors Ceremony
Comparing Partitions from Clustering Algorithms
Life Through the Eyes of a Machine
An IEEE IPC Special Session with X. Chen from Nokia Bell Labs
Noise Enhanced Information Systems: Denoising Noisy Signals with Noise
Some Thoughts on a Gap Between Theory and Practice of Evolutionary Algorithms - WCCI 2012
Spiking Network Algorithms for Scientific Computing - William Severa: 2016 International Conference on Rebooting Computing
Hardware Detection in Implantable Media Devices Using Adiabatic Computing - S. Dinesh Kumar - ICRC 2018

IEEE-USA E-Books

  • Quadratic tests for detection of abrupt changes in multivariate signals

    This article considers the problem of detecting abrupt changes in the mean of a multivariate Gaussian random signal. A fixed sample size /spl chi//sup 2/-test is compared against the optimum sequential tests (/spl chi//sup 2/-CUSUM and /spl chi//sup 2/-GLR).

  • A detection algorithm for islanding-prevention of dispersed consumer-owned storage and generating units

    Summary form only given as follows. One of critical concerns in the operation of grid-connected dispersed generating units is the occurrence of islanding. It is known that the islanding may pose hazards to utility personnel and complicate the orderly reconnection of the grid. Hence, in this paper, a new algorithm based on the monitoring of the change in /spl delta/f//spl delta/P/sub L/ to detect the islanding is proposed. By the proposed method, a detection index can be evaluated that serves as a useful reference to activate the protective relays. This approach has been applied to investigate different scenarios, including the loss of grid and the parallel operation. Effects of load change and power-quality disturbances to the detection performance are also examined. From these test results, they help solidify the feasibility and effectiveness of the approach for the applications considered.

  • Recursive Tracking Of Vascular Trees In Angiograms Using A Detection-deletion Scheme

    None

  • A Multi-Layer Video Browsing System

    None

  • Abrupt scene change detection based on the temporal activity distributions

    In this paper, an abrupt scene change detection algorithm is suggested. The algorithm is developed based on the temporal activity distribution that derived from the temporal subband analysis. Computer simulation results show that the proposed scheme is capable of detecting abrupt scene changes in video sequence accurately and efficiently.

  • Target recognition and polarimetric SAR

    This tutorial presents a state-of-the-art survey of advanced applications of Synthetic Aperture Radar (SAR). Applications include: the detection and recognition of targets in SAR imagery, and the detection of targets under trees (and in the open) using change detection (coherent change detection, full-polarization change detection, etc). A fully polarimetric SAR sensor is described. Models of clutter and targets are developed from analysis of full- polarization SAR imagery. Algorithms for optimum (GLRT) processing of full- polarization data are derived, including the polarimetric whitening filter (PWF) and the polarimetric matched filter (PMF). Polarization-based discrimination features (polarization entropy, anisotropy, etc.) are developed and applied to SAR image terrain classification. Model-based and template- based target recognition systems are described and classifier performance results versus resolution and polarization are summarized for 10-and 20-target classifiers. Super-resolution algorithms are applied to SAR imagery and target recognition performance improvements demonstrated. Multi-polarization and multi-pass change detection algorithms are developed and demonstrated using UHF SAR imagery of targets under trees; fusion of multi-polarization coherent and non-coherent change detection algorithms is demonstrated. The effect of SAR image compression on change detection performance is quantified. Change detection performance using multi-pass VHF SAR imagery of targets under trees is demonstrated using data gathered by the Swedish CARABAS SAR system.

  • Rotation Invariant Neural Network-Based Face Detection

    None

  • Efficiency of Signal Censoring in Whitening Filters

    By the method of statistical modeling it's defined efficiency of censoring algorithm for signals, which are got in training sample, on which estimation of passive clutter correlative parameters is produced in adaptive whitening filters (WF). The calculations are organized for broad range of change for parameters: pulse number in the pack, volume of training samples.

  • Two strategies in the problem of change detection and isolation

    The comparison between optimal sequential and nonsequential (fixed-size sample) strategies in the problem of abrupt change detection and isolation is discussed. In particular, we show that sometimes a simple fixed-size sample algorithm is almost as efficient as an optimal sequential algorithm which leads to a burdensome number of arithmetical operations.

  • Large-scale bidirectional reflectance model for urban areas

    A bidirectional reflectance factor (BRF) model for urban areas for pixel sizes of more than 500 m/spl times/500 m is developed. Possible applications include albedo calculation, improvement of classification, and change detection algorithms, simulated global BRF maps, and refinement of atmospheric correction algorithms. The model combines the BRF effects at several scales (street grid, intermediate-sized objects, and microscale). The authors present modeling results as well as a comparison with measured data. The basic features of the urban BRF are the hotspot and the independence of its shape from wavelength in the range 450 nm/spl les//spl lambda//spl les/2300 nm. An analytical function that approximates the model is proposed for easy implementation and fast computation.



Standards related to Detection algorithms

Back to Top

No standards are currently tagged "Detection algorithms"


Jobs related to Detection algorithms

Back to Top