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检索条件"主题词=Detection algorithms"

共 7380 条记录，以下是211-220 订阅

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A collaborative benchmark for region of interest detection algorithms

A collaborative benchmark for region of interest detection a...

引用

Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Tz-Huan Huang Kai-Yin Cheng Yung-Yu Chuang National Taiwan University Taiwan

This paper presents a collaborative benchmark for region of interest (ROI) detection in images. ROI detection has many useful applications and many algorithms have been proposed to automatically detect ROIs. Unfortunately, due to the lack of benchmarks, these methods were often tested on small data sets that are not available to others, making fair comparisons of these methods difficult. Examples from many fields have shown that repeatable experiments using published benchmarks are crucial to the fast advancement of the fields. To fill the gap, this paper presents our design for a collaborative game, called Photoshoot, to collect human ROI annotations for constructing an ROI benchmark. Using this game, we have gathered a large number of annotations and fused them into aggregated ROI models. With these models, we are able to evaluate six ROI detection algorithms quantitatively.

关键词： Collaboration detection algorithms

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NLOS detection algorithms for Ultra-Wideband localization

NLOS detection algorithms for Ultra-Wideband localization

引用

Workshop on Positioning, Navigation and Communication, WPNC

作者： Jens Schroeder Stefan Galler Kyandoghere Kyamakya Klaus Jobmann The Institute of Communications Engineering IKT Leibniz Universität Hannover Hanover Germany The Institute for Smart System-Technologies Alpen-Adria University of Klagenfurt Klagenfurt Austria

Non Line of Sight (NLOS) channels are one of the major drawbacks for accurate ranging and localization with Ultra-Wideband (UWB) technology. Whereas several proposals exist to detect these situations, a comprehensive overview, investigation and testing of these methods has to the authors' knowledge not yet been prepared. This paper tries to fill this gap with a classification of the algorithms proposed of the UWB and mobile phone community. In addition, one novel method based on the signal power variation is suggested. Afterwards, the methods are evaluated regarding their practicability for real UWB localization systems, which excludes some of them from further investigation. For the remaining algorithms thresholds are proposed, which are strived to be as independent of the system and environment as possible. Finally, the NLOS detection algorithms are tested and compared with both an UWB simulation environment and an UWB localization test bed.

关键词： detection algorithms Ultra wideband technology Testing Mobile handsets Navigation Proposals Classification algorithms Robustness Interference Bandwidth

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Properties and performance of rate detection algorithms in three implantable cardioverter-defibrillators

Properties and performance of rate detection algorithms in t...

引用

Computers in Cardiology (CinC)

作者： W.H. Olson B.D. Gunderson M.C. Fang-Yen A.K. Hoyhtya Medtronic Inc. Minneapolis MN USA

Three detection algorithms used in implantable cardioverter defibrillators (ICDs) are described and compared. Synthetic and prerecorded human tachyarrhythmias were applied to algorithm simulations. As rhythm variability increased, the consistency of the result near detection zone boundaries fell and had different trends for each algorithm. For 456 prerecorded rhythms and fixed zones, VT-VF sensitivities were 96-97% and specificities were 83-85%.< >

关键词： detection algorithms Cardiology Counting circuits Rhythm Medical treatment Computer aided manufacturing Event detection USA Councils Humans Gain control

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Optimal QRS detection algorithms

Optimal QRS detection algorithms

引用

Mediterranean Electrotechnical Conference (MELECON)

作者： A. Cohen M. Poluta Electrical and Computer Engineering Ben-Gurion University of the Negev Israel Biomedical Engineering University of Cape Town South Africa

Performance measures to compare QRS detection algorithms are suggested and evaluated. The measures are used to compare various linear and nonlinear filters and to determine optimal threshold levels. In low error cases the separation divergence is suggested as a performance measure. For single lead systems this measure becomes an F-ratio measure. A database of more than 2700 complexes is used. With this database several types of linear filters and nonlinear operators are compared and optimal threshold levels are determined.< >

关键词： detection algorithms Nonlinear filters Finite impulse response filter Biomedical measurements Electrocardiography Wiener filter Band pass filters Working environment noise Signal to noise ratio Computerized monitoring

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Evaluation and Customization of Community detection algorithms in Large Social Networks

Evaluation and Customization of Community Detection Algorith...

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International Conference on Computing Methodologies and Communication (ICCMC)

作者： Sanjay Kumar Stuti Pandey Ria Gupta Department of Computer Science and Engineering Delhi Technological University New Delhi India

Nowadays, social, natural, technological and information systems can be exhibited by complex networks having millions of nodes interconnected to each other. The extraction of comprehensive information from these massive networks call for computationally efficient methods. A promising approach to accomplish this task is to disintegrate the network into sub-units or communities and then using these identified communities to uncover relevant information. Thus, identifying communities in large scale networks plays a pivotal role in several scientific domains. In this paper, we extensively evaluate the functioning of two known algorithms and propose an improvement over one of them, in order to overcome its shortcomings to some extent, for optimal identification of community structure. We also present experimental results and evidences indicating that both the established algorithms, as well as our suggested approach, when applied to large social network datasets yields different results in terms of goodness and performance.

关键词： Partitioning algorithms detection algorithms Conferences Social network services Clustering algorithms Computer science Standards

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Estimation of SRTT using techniques from the practice of SPC and change detection algorithms

Estimation of SRTT using techniques from the practice of SPC...

引用

AFRICON Conference

作者： D.W. Ngwenya G.P. Hancke Department of Electrical Electronic and Computer Engineering University of Pretoria South Africa

We have employed principles from change detection algorithms and statistical process control (SPC) to improve the estimation of the average of the round-trip time (RTT). Two mechanisms are proposed. The first is based on SPC principles. The other is based on an intuition derived from the log-likelihood ratio concept. Data employed to test the mechanisms are obtained by pinging several nodes on a campus network. Both methods improved the ability to track the change in the mean and take appropriate action

关键词： detection algorithms Jacobian matrices Filters Change detection algorithms Process control Gaussian distribution Data engineering Testing Noise robustness History

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A Distance-Based Method for the Evaluation of Interest point detection algorithms

A Distance-Based Method for the Evaluation of Interest point...

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IEEE International Conference on Image Processing

作者： Alexander Reiterer Thomas Eiter Institute of Geodesy and Geophysics Engineering Geodesy University of Technology Vienna Vienna Austria Institute of Information Systems Knowledge Based Systems Group University of Technology Vienna Vienna Austria

Many approaches in computer vision are based on point detection algorithms. In the literature, a wide variety of such algorithms are available. Therefore, it is an important task to evaluate existing and newly developed point detection algorithms. Up to now, this process was done by means of several methods. In this paper, we recall current point detection evaluation techniques, and motivated by their insufficiency for certain applications, we present a new application-oriented method which is based on distances between sets of points.

关键词： detection algorithms Humans Computer vision Inspection Geodesy Clouds Image analysis Layout Geophysics Digital images

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AIRIS Remote detection for Chemical Vapor Clouds: Systems Design and detection algorithms

AIRIS Remote Detection for Chemical Vapor Clouds: Systems De...

引用

Conference on Lasers and Electro-Optics (CLEO)

作者： A. Peter Snyder James O. Jensen Waleed M. Maswadeh Louis Anderson Bogdan R. Cosofret Tracey E. Janov Harry S. Kindle Daisei Konno Rex Miyashiro William J. Marinelli Edgewood Chemical Biological Center MD USA Life Sciences Division U.S. Army Dugway Proving Ground Dugway UT USA Physical Sciences Inc. Andover MA USA

detection and tracking of chemical vapors at kilometer distances constitute an important component in early warning for the US military. The adaptive infrared imaging spectroradiometer (AIRIS) passively interrogates c... 详细信息

ISBN: (纸本)9781424435906

关键词： Clouds detection algorithms Chemical analysis Infrared imaging Pixel Image converters Spectroradiometers Infrared spectra Chemical technology Laser excitation

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Optimisation of Gardner and non data-aided early-late (/spl lambda/ = 1/2) timing error detection algorithms

Optimisation of Gardner and non data-aided early-late (/spl ...

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： R. Danesfahani T. Jeans Faculty of Engineering University of Kashan Kashan Iran School of Electronics Computing and Mathematics University of Surrey Guildford Surrey UK

The tracking performance of the Gardner algorithm and the non data-aided early-late (/spl lambda/ = 1/2) algorithm are made almost jitter-free in the presence of additive white-Gaussian noise. For this purpose, the newly developed combined tracking and parallel search (CTAPS) method has been adopted. Computer simulations show that the optimised algorithms maintain the correct timing error under the conditions that the original algorithms lose tracking. Unlike the bit error rate (BER) performance which is unacceptably high at low to medium signal-to-noise ratios (SNRs) when using the original algorithms, the BER performance of the optimised algorithms is close to the theoretical results. A superior tracking performance, a very fast acquisition time, and a low complexity are the features of the optimised algorithms.

关键词： Timing detection algorithms Additive white noise Error correction Pulse shaping methods Transmitters Doppler shift Matched filters Detectors Quadrature phase shift keying

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A NOVEL MAMMOGRAPHIC MASS detection APPROACH TO COMBINING SUPREVISED AND UNSUPREVISED detection algorithms

A NOVEL MAMMOGRAPHIC MASS DETECTION APPROACH TO COMBINING SU...

引用

IEEE International Conference on Image Processing

作者： Dae Hoe Kim Jae Young Choi Yong Man Ro Image and Video Systems Laboratory Korea Advanced Institute of Science and Technology Daejeon South Korea

In this paper, we propose the combination of different mass detection algorithms to increase overall mass detection sensitivity for various types of breast masses on mammograms. In particular, supervised and unsupervised mass detection algorithms are effectively combined to maximize complementary effects of both approaches. By combining the aforementioned mass detection algorithms, we can arrive at a combined mass detection approach that makes stronger and accurate detection results. Comparative experiments have been conducted on public mammogram data set. Our results show that the proposed detection system can considerably improve the mass detection sensitivity with relatively small number of false positives, compared to the implementation of using only a single detection solution.

关键词： Sensitivity detection algorithms Cancer Breast Databases Delta-sigma modulation Shape

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