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检索条件"主题词=Change Detection Algorithms"

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A Cyclostationary Least Mean Squares Algorithm For Discrimination Of Ventricular Tachycardia From Sinus Rhythm

A Cyclostationary Least Mean Squares Algorithm For Discrimin...

引用

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： C.J. Finelli J.M. Jenkins University of Michigan Ann Arbor MI USA

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Robust speaker clustering strategies to data source variation for improved speaker diarization

Robust speaker clustering strategies to data source variatio...

引用

IEEE Workshop on Automatic Speech Recognition and Understanding

作者： Kyu J. Han Samuel Kim Shrikanth S. Narayanan Speech Analysis and Interpretation Laboratory (SAIL) Ming Hsieh Department of Electrical Engineering University of Southern California Los Angeles CA USA

ISBN: (纸本)9781424417452

Agglomerative hierarchical clustering (AHC) has been widely used in speaker diarization systems to classify speech segments in a given data source by speaker identity, but is known to be not robust to data source variation. In this paper, we identify one of the key potential sources of this variability that negatively affects clustering error rate (CER), namely short speech segments, and propose three solutions to tackle this issue. Through experiments on various meeting conversation excerpts, the proposed methods are shown to outperform simple AHC in terms of relative CER improvements in the range of 17-32%.

关键词： Robustness Error analysis Speech analysis NIST Laboratories Statistical distributions Frequency Feature extraction change detection algorithms Clustering algorithms

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An accurate region based object tracking for video sequences

An accurate region based object tracking for video sequences

引用

IEEE Workshop on Multimedia Signal Processing

作者： Dongxiang Xu Jenq-Neng Hwang Jun Yu Department of Electrical Engineering Information Processing Laboratory

ISBN: (纸本)0780356101

With the popularity of MPEG-4 and MPEG-7 standards, video object (VO) segmentation becomes a very challenging research area in video applications. We present a novel method for semi-automatic object segmentation for a video sequence. The proposed approach starts with a rough user input VO definition. It then combines each frame's region segmentation and motion estimation results to construct the objects of interest for temporal tracking this object along the time. An active contour model based algorithm is employed to further fine-tune the object's contour so as to extract accurate object boundary. Some experimental results and future research directions are also discussed.

关键词： Video sequences Partitioning algorithms Target tracking Active contours change detection algorithms Motion detection Computer science MPEG 4 Standard MPEG 7 Standard Application software

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In-Network Outlier detection in Wireless Sensor Networks

In-Network Outlier Detection in Wireless Sensor Networks

引用

International Conference on Distributed Computing Systems

作者： J. Branch B. Szymanski C. Giannella Ran Wolff H. Kargupta Computer Science Rensselaer Polytechnic Institute NY USA Computer Science & Electrical Engineering University of Maryland Baltimore County Baltimore MD USA

To address the problem of unsupervised outlier detection in wireless sensor networks, we develop an algorithm that (1) is flexible with respect to the outlier definition, (2) works in-network with a communication load proportional to the outcome, and (3) reveals its outcome to all sensors. We examine the algorithm’s performance using simulation with real sensor data streams. Our results demonstrate that the algorithm is accurate and imposes a reasonable communication load and level of power consumption.

关键词： Intelligent networks Wireless sensor networks Data analysis change detection algorithms Computer science Energy consumption Robustness Pattern analysis Distributed computing Neural networks

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Design and Evaluation of a Fast and Robust Worm detection Algorithm

Design and Evaluation of a Fast and Robust Worm Detection Al...

引用

IEEE Annual Joint Conference: INFOCOM, IEEE Computer and Communications Societies

作者： T. Bu A. Chen S. Vander Wiel T. Woo Bell Laboratories Lucent Technologies Inc. USA Los Alamos National Laboratory USA

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Detecting changes in streaming data with information-theoretic windowing

Detecting changes in streaming data with information-theoret...

引用

IEEE International Conference on Big Data

作者： Ryoya Kaneko Kohei Miyaguchi Kenji Yamanishi Graduate School of Information Science and Technology The University of Tokyo Japan

This study addresses the problem of detecting change points in streaming data. Herein, we focus on detecting changes with low complexity and high accuracy to manage large-volume, high-velocity data. To this end, we propose a novel method of detecting changes via data compression, by introducing minimum description length (MDL) change statistics to an adaptive windowing regime. The time complexity of the resulting algorithm, Sequential Compression with Adaptive Windowing (SCAW), is optimal except for a logarithmic factor, and is theoretically justified through exponential upper bounds on error probabilities. Moreover, SCAW can be used to detect arbitrary types of changes by choosing an appropriate compressor. We also introduce the notion of asymptotic reliability as a criterion of change point detection algorithms, and determine SCAW's parameter using this criterion. Finally, we demonstrate the effectiveness of the proposed method in experiments using synthetic and real-world data from markets and industrial machinery.

关键词： Reliability Error probability change detection algorithms Big Data detection algorithms Data compression

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Readout circuit design for an EISCAP biosensor

Readout circuit design for an EISCAP biosensor

引用

IEEE Biomedical Circuits and Systems (BIOCAS)

作者： Hareesh Vemulachedu Shanthi Pavan Enakshi Bhattacharya Indian Institute of Technology Madras India

We present the design of readout electronics for an Electrolyte Insulator Semiconductor capacitor (EISCAP) sensor. The sensor detects the presence of bioanalytes by sensing the change in the pH of the electrolyte. Our technique uses an EISCAP relaxation oscillator embedded in a successive approximation analog-to-digital conversion algorithm to give a digital readout of the pH of the test solution. A microcontroller based pH readout instrument, incorporating calibration to account for sensor variations, is described. Experimental results that demonstrate the efficacy of our techniques are given.

关键词： Circuit synthesis Biosensors Readout electronics Insulation Capacitors Capacitive sensors Oscillators Analog-digital conversion Approximation algorithms change detection algorithms

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A Novel Fault detection and Recovery Mechanism for Zigbee Sensor Networks

A Novel Fault Detection and Recovery Mechanism for Zigbee Se...

引用

International Conference on Future Generation Communication and Networking (FGCN)

作者： Jian Wan Jianrong Wu Xianghua Xu Grid and Services Computing Lab S. of Computer Science Hangzhou Dianzi University Hangzhou China

ISBN: (纸本)9781424440085

Wireless Sensor networks (WSN) are prone to cause failures due to the constraining factors of energy, memory and communication capability. This paper describes an efficient faulty detection and recovery mechanism for ZigBee network which is an industrial standard widely adopted for WSN. We propose a localized tree based method for detecting faults due to energy exhaustion of nodes and repair them after node failure. We design three types of failure mechanisms depending on the type of node in the tree network of ZigBee. In order to avoid much more exchange message and reduce the collision of re-joining network, we take an ¿elected new parent¿ strategy from the disconnected children, and make the disconnected node re-join network together with as many descendant nodes as possible. Simulation results show that our proposed method consumes less energy than the original ZigBee network, and prolong the lifetime of network efficiently.

关键词： Fault detection ZigBee Wireless sensor networks Base stations Sensor phenomena and characterization Failure analysis Patient monitoring Network topology change detection algorithms Costs

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Pattern Recognition and Analysis of the Blocked Traffic Queuing in Traffic Coordinated Control

Pattern Recognition and Analysis of the Blocked Traffic Queu...

引用

International Symposium on Information Science and Engineering, ISISE

作者： Bohang Liu Qingbing Li Xiaoping Zhou Shaofang Wen School of Traffic and transportation Shijiazhuang Railway Institute Shijiazhuang China

Traffic queuing and delay can't be detected accurately by traditional loop detection due to technical limit. In recent years, video technology has been applied to the traffic control detection, which has a greater deal of information and larger detection area, and therefore, it will bring revolutionary change to the traffic control algorithm. This paper provides discussions on the characteristics of vehicle arrival in urban arterial based on video traffic detection, and puts forward the pattern recognition approach of the traffic queuing arrival and calculation method of the related parameters, which can offer the reliable basis for the generation of traffic control scheme. Furthermore, the feasibility of this method is illustrated by example analysis.

关键词： Traffic control Pattern recognition Pattern analysis Queueing analysis Vehicle detection Rail transportation Delay change detection algorithms Character generation Algorithm design and analysis

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Adaptive skin detection system on DTV

Adaptive skin detection system on DTV

引用

IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

作者： Sungsoo Kim Taehong Jung Yungjun Park Jaihie Kim School of Electrical and Electronic Engineering Coretech Laboratory VD-Division Samsung Electronics Company Limited Suwon South Korea Coretech Laboratory VD-Division Samsung Electronics Limited Suwon South Korea Biometrics Engineering Research Center School of Electrical and Electronic Engineering Yonsei University Seoul South Korea

ISBN: (纸本)0780386396

We propose a skin detection algorithmic system for a consequent video sequence which is fast, reliable and applicable. We adopted YCbCr color space, which is competitive in extracting the skin region from digital television (DTV) related images. Based on a Gaussian color probability density, and the assumption that the color is homogeneous in a continuous scene, we adopted a face detection method to extract the skin space locus from one scene to another scene so that adequate skin space is renewed by face detection. We target this algorithm for DTV applications. As speed of the algorithm is crucial in a real time system, we adopted motion estimation (ME) to find the exact frames which need the skin space to be updated due to scene change or skin color change. The core of this work is a practical adaptive skin space search algorithm, meanwhile reducing distortion from various image sources. Our adaptive skin locus update (ASLU) algorithm shows outstanding result comparing to static skin region detection algorithms.

关键词： Adaptive systems Skin Digital TV Layout change detection algorithms Face detection Video sequences Real time systems Motion estimation detection algorithms

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