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检索条件"主题词=Detection algorithms"

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Instantaneous P- and T-wave detection: Assessment of three ECG fiducial points detection algorithms

Instantaneous P- and T-wave detection: Assessment of three E...

引用

International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Heike Leutheuser Stefan Gradl Lars Anneken Martin Arnold Nadine Lang Stephan Achenbach Bjoern M. Eskofier Digital Sports Group Universität Erlangen-Ntirnberg (FAU) Germany Department of Cardiology University Hospital Erlangen Germany Fraunhofer Institute for Integrated Circuits IIS Erlangen Germany

ISBN: (纸本)9781509030880

Arrhythmia detection algorithms require the exact and instantaneous detection of fiducial points in the ECG signal. These fiducial points (QRS-complex, P- and T-wave) correspond to distinct cardiac contraction phases. The performance evaluation of different fiducial points detection algorithms require the existence of large databases (DBs) encompassing reference annotations. Up to last year, P- and T-wave annotations were only available for the QT DB. This was addressed by Elgendi et al. who provided P- and T-wave annotations to the MIT-BIH arrhythmia DB. A variety of ECG fiducial points detection algorithms exists in literature, whereas, to the best knowledge of the authors, we could not identify any single-lead algorithm ready for instantaneous P- and T-wave detection. In this work, we present three P- and T-wave detection algorithms: a revised version for QRS detection using line fitting capable to detect P- and T-wave, an expeditious version of a wavelet based ECG delineation algorithm, and a fast naive fiducial points detection algorithm. The fast naive fiducial points detection algorithm performed best on both DBs with sensitivities ranging from 73.0% (P-wave detection, error interval of ± 40 ms) to 89.4% (T-wave detection, error interval of ± 80 ms). As this algorithm detects a wave event in every search window, it has to be investigated how this affects arrhythmia detection algorithms. The reference Matlab implementations are available for download to encourage the development of high-accurate and automated ECG processing algorithms for the integration in daily life using mobile computers.

关键词： Electrocardiography detection algorithms Heart beat Event detection Databases MATLAB Real-time systems

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Hyperspectral detection algorithms: operational, next generation, on the horizon

Hyperspectral detection algorithms: operational, next genera...

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： A. Schaum

The multiband target detection algorithms implemented in hyperspectral imaging systems represent perhaps the most successful example of image fusion. A core suite of such signal processing methods that fuse spectral channels has been implemented in an operational system; more systems are planned. Stricter performance requirements for future remote sensing applications will be met by evolutionary improvements on these techniques. Here we first describe the operational methods and then the related next generation nonlinear methods, whose performance is currently being evaluated. Next we show how a "dual" representation of these algorithms can serve as a springboard to a radically new direction in algorithm research. Using nonlinear mathematics borrowed from machine learning concepts, we show how hyperspectral data from a high-dimensional spectral space can be transformed onto a manifold of even higher dimension, in which robust decision surfaces can be more easily generated. Such surfaces, when projected back into spectral space, appear as enveloping blankets that circumscribe clutter distributions in a way that the standard, covariance-based methods cannot. This property may permit the design of extremely low false-alarm rate solutions to remote detection problems

关键词： detection algorithms Signal processing algorithms Hyperspectral imaging Hyperspectral sensors Machine learning algorithms Object detection Image fusion Fuses Remote sensing Mathematics

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Occlusion detectable stereo-systematic comparison of detection algorithms

Occlusion detectable stereo-systematic comparison of detecti...

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International Conference on Pattern Recognition

作者： K. Satoh Y. Ohta Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Ibaraki Japan

In stereo algorithms with more than two cameras, the improvement of accuracy in correspondence search is often reported. On the other hand, another important aspect of the polynocular stereo is the ability of occlusion detection. The camera matrix stereo SEA, which we have developed, offers a simple but effective framework to detect the presence of occlusion and to obtain reliable correspondence. SEA can produce a dense and accurate depth map with sharp object profiles. In this paper, we made some systematic comparison of several algorithms for occlusion detection in SEA. The results are quite interesting and reasonable. They are useful to design an actual polynocular stereo system.

关键词： detection algorithms Cameras Shape Image analysis Robots Object detection

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Evaluation of Pitch detection algorithms Under Real Conditions

Evaluation of Pitch Detection Algorithms Under Real Conditio...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Iker Luengo Ibon Saratxaga Eva Navas Inmaculada Hernaez Jon Sanchez Inaki Sainz Aholab-Signal Processing Laboratory University of Basque Country (UPV-EHU) Bilbao Spain

A novel algorithm based on classical cepstrum calculation followed by dynamic programming is presented in this paper. The algorithm has been evaluated with a 60-minutes database containing 60 speakers and different recording conditions and environments. A second reference database has also been used. In addition, the performance of four popular PDA algorithms has been evaluated with the same databases. The results prove the good performance of the described algorithm in noisy conditions. Furthermore, the paper is a first initiative to perform an evaluation of widely used PDA algorithms over an extensive and realistic database.

关键词： detection algorithms Databases Cepstrum Dynamic programming Speech analysis Speech coding Speech synthesis Packaging Continuous-stirred tank reactor Laboratories

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A review of ship detection algorithms in polarimetric SAR images

A review of ship detection algorithms in polarimetric SAR im...

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International Conference on Signal Processing Proceedings (ICSP)

作者： Han Zhaoying Chong Jinsong National Key Laboratory of Microwave Imaging Technology Institute of Electronics Chinese Academy and Sciences Beijing China Chinese Academy and Sciences China

In this paper, we take a brief review of the different approaches used for ship detection in polarimetric synthetic aperture radar (POL-SAR) images. After an introduction of the standard polarimetric detectors (SPDs) used in polarimetric detection for general targets, four main types of polarimetric detection algorithms with special respect to ship targets are summarized: the coherent target decomposition algorithm (CTD), polarimetric entropy (PE) algorithm, polarimetric detectors based on fusion, and segmentation based polarimetric method. Preliminary conclusion is drawn from the performance comparison of each type and indicates how these algorithms applied for ship targets respectively.

关键词： Marine vehicles detection algorithms Detectors Radar detection Synthetic aperture radar Object detection Laboratories Radar scattering Probability Microwave imaging

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Analysis on Image Symmetry detection algorithms

Analysis on Image Symmetry Detection Algorithms

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhitao Xiao Jun Wu School of Information and Communication Engineering Tianjin Professional University Tianjin China

Symmetry exists widely in the real world and plays a remarkable role in perception problems. Fast and effective symmetry detection is still a difficult problem in computer vision. Typical image symmetry detectors are analyzed. From the viewpoint of information used, the literatures on image symmetry detection are analyzed systematically. And symmetry detectors can be categorized to two kinds, that is, gradient-based ones and phase-based ones. Characteristics of each kind are discussed. The key issues of the important symmetry detectors are explained extensively and comprehensively. Based on the survey, some open issues, which needed to be researched further, are presented, and the future research trends are also given.

关键词： Image analysis Algorithm design and analysis detection algorithms Detectors Shape Histograms Phase detection Information analysis Computer vision Mirrors

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Performance Comparison of Dysgraphia detection algorithms

Performance Comparison of Dysgraphia Detection Algorithms

引用

Emerging Trends in Industry 4.0 (ETI 4.0)

作者： Gunjan Goyal Sidhanth Karwal Rakesh Garg Amity School of Engineering and Technology Amity University Uttar Pradesh Noida India

This research mainly aims on the comparative analysis of existing popular machine learning algorithms for Dysgraphia detection such as Naive Bayes, KNN (K-Nearest Neighbours), SVM (Support Vector Machine), Decision tree, Random Forest. The evaluation of these algorithms is done on four measure performance measure namely accuracy, precision, F1 score and recall. The comparative statics obtained from the present study depict that although these algorithms are capable to detect dysgraphia upto some extent still there arises a need to develop more effective algorithms for the same at early stages.

关键词： Support vector machines Machine learning algorithms Decision trees Sustainable development detection algorithms Random forests Diseases

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Failure detection algorithms for a reliable execution of parallel programs

Failure detection algorithms for a reliable execution of par...

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Reliable Distributed Systems

作者： S. Chabridon E. Gelenbe UFR de Mathématiques et Informatique Universite Renk Descartes Paris France Department of Electrical Engineering Duke University Durham NC USA

We report on the design and simulation of novel algorithms which will ensure that application software runs correctly on a MIMD system in which processing units (PU) can fail. The effect of these algorithms is evaluated for random task graphs using simulation as failure rates increase. An example of a specific application is also examined (the Fast Fourier Transform) for which we construct the task graph and then simulate its execution under various values of the failure rates of processors.

关键词： detection algorithms Algorithm design and analysis Computational modeling Surges Software algorithms Application software Fast Fourier transforms Parallel processing Delay Databases

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Workload analysis for performance study of distributed deadlock detection algorithms

Workload analysis for performance study of distributed deadl...

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Reliable Distributed Systems

作者： K.O. Min G.G. Belford Department of Computer Science University of Illinois Urbana-Champaign Urbana IL USA

The authors present an approach to distributed workload analysis which can be used as a basis for the performance study of distributed deadlock detection algorithms. In particular, the expected number of times a deadlock detection algorithm is locally initiated and the subsequent number of remote invocations are derived. Simulation work was done to validate the approach.< >

关键词： Performance analysis Algorithm design and analysis System recovery detection algorithms Distributed computing Computer science Database systems Distributed algorithms Computational modeling Delay

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Frame difference normalization: an approach to reduce error rates of cut detection algorithms for MPEG videos

Frame difference normalization: an approach to reduce error ...

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IEEE International Conference on Image Processing

作者： R. Ewerth B. Freisleben University of Siegen Siegen Germany Dept. of Math. and Computer Science University of Marburg Marburg Germany

The segmentation of video sequences into shots is the first step towards video content analysis. Two kinds of shot boundaries can be distinguished: abrupt scene changes ("cuts") and gradual transitions. In this paper, we present a technique to reduce the error rates of cut detection algorithms based on pixel-wise or histogram-based frame difference metrics when operating directly on compressed MPEG video data. The proposed approach, called "frame difference normalization" (FDN), intends to eliminate the effects of a specific frame pattern in MPEG streams responsible for causing such errors. Experimental results will be presented to demonstrate the benefits of our proposal and its superiority over a more general noise filter. Furthermore, the proposed method is not limited to a particular algorithm but it is applicable to an entire class of cut detection algorithms.

关键词： Error analysis detection algorithms Testing Layout Transform coding Proposals Motion estimation Computer science Video sequences Algorithm design and analysis

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