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检索条件"主题词=detection algorithms"

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Privacy Preserving Density-Based Outlier detection

Privacy Preserving Density-Based Outlier Detection

引用

WRI International Conference on Communications and Mobile Computing, CMC

作者： Zaisheng Dai Liusheng Huang Youwen Zhu Wei Yang National High Performance Computing Center Department of Computer Science and Technology University of Science and Technology Hefei China

ISBN: (纸本)9781424463275

Outlier detection can find its tremendous applications in areas such as intrusion detection, fraud detection, and image processing. Among many outlier detection algorithms, LOF is a very important density-based algorithm in which one critical step is to find the k-distance neighbors. In some privacy preserving circumstances, the cooperation between data holders is necessary while the privacy of the participators should be guaranteed. In this paper, we focus on privacy preserving LOF. We propose a novel algorithm for privacy preserving k-distance neighbors search. Combining it with other secure multiparty computation techniques, we detect outliers by LOF in a privacy preserving way.

关键词： Data privacy detection algorithms Data mining Intrusion detection Image processing Mobile communication Mobile computing Quantum computing High performance computing Computer science

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detection of Double-Compression in MPEG-2 Videos

Detection of Double-Compression in MPEG-2 Videos

引用

International Workshop on Intelligent Systems and Applications, ISA

作者： Yuting Su Junyu Xu The School of Electronic Information Engineering Tianjin University TJU Tianjin China

ISBN: (纸本)9781424458721;9781424458745

In recent years, with the easy availability of digital video cameras and associated software to manipulate video, ascertaining the integrity and authenticity of digital videos has become an urgent and critical issue. In this paper, we propose a novel approach to detect double MPEG-2 compression which often occurs in digital video tampering. Specifically, we show how a doubly compressed MPEG-2 video sequence introduces convex pattern in the distribution of quantized DCT coefficients whose presence can be used as an evidence of tampering. Some commercial digital video cameras and multimedia editing softwares are introduced to simulate the process of double MPEG-2 compression, and a series of experiments show that the proposed scheme can effectively detect double MPEG-2 compression at different output bit-rates. Excellent test results verify that our proposed algorithm is of great practical value.

关键词： Videos Transform coding Quantization Discrete cosine transforms Image coding detection algorithms Streaming media Digital cameras Testing Forensics

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Water Reflection detection Using a Flip Invariant Shape Detector

Water Reflection Detection Using a Flip Invariant Shape Dete...

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International Conference on Pattern Recognition

作者： Hua Zhang Xiaojie Guo Xiaochun Cao School of Computer Science and Technology Tianjin University TJU Tianjin China

Water reflection detection is a tough task in computer vision, since the reflection is distorted by ripples irregularly. This paper proposes an effective method to detect water reflections. We introduce a descriptor that is not only invariant to scales, rotations and affine transformations, but also tolerant to the flip transformation and even non-rigid distortions, such as ripple effects. We analyze the structure of our descriptor and show how it outperforms the existing mirror feature descriptors in the context of water reflection. The experimental results demonstrate that our method is able to detect the water reflections.

关键词： Mirrors Image edge detection Shape Context Encoding Spline detection algorithms

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A Novel detection Algorithm for Ultra Wide Band Short Range Radar in Automotive Applications

A Novel Detection Algorithm for Ultra Wide Band Short Range ...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： Purushothaman Surendran Seok Jun Ko Sang-Dong Kim Jong-Hun Lee Department of Electronic Engineering Jeju National University Jeju South Korea Daegu-Gyeongbuk Institute of Science and Technology Daegu South Korea

ISBN: (纸本)9781424425181

Most significant part of radar target detection problems can be solved by using the method of statistical detection theory. Here the objective of the proposed optimal detection algorithm is to give a maximum detection probability for fixed false alarm probability. It is assumed that target is stationary and energy reflected from the target is distributed. The proposed detection algorithm has a squared sliding window in order to combine the reflected signals from the target. As the energy reflected from the target is more distributed, the proposed detector is superior to conventional non-coherent detector. The detection is based on one transmitted pulse against a background of white Gaussian noise (WGN). The performance of the proposed detector is analyzed and simulation has been done in order to verify.

关键词： Ultra wideband radar detection algorithms Radar applications Automotive applications Detectors Radar detection Probability Radar theory Object detection Gaussian noise

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AM-SIGNAL detection IN COGNITIVE RADIOS USING FIRST-ORDER CYCLOSTATIONARITY

AM-SIGNAL DETECTION IN COGNITIVE RADIOS USING FIRST-ORDER CY...

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IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Yi Zhou Khalid Qaraqe Erchin Serpedin Octavia A. Dobre Dept. of Electrical & Computer Engineering Texas A&M University College Station TX 77843-3128 USA Faculty of Eng. & Applied Science Memorial University of Newfoundland St. John's NL A1B 3X5 Canada

ISBN: (纸本)9781424442959

Cognitive radio is regarded as a novel approach for improving the utilization of precious radio spectrum resource. The detection of very low signal-to-noise ratio (SNR) signals with relaxed a priori information on the signal parameters is of high importance to such radios. This paper proposes a detection algorithm based on the first-order cyclostationarity for amplitude modulated (AM) signals that only requires rough information on the signal bandwidth and carrier frequency. A theoretical asymptotic analysis is performed. Simulation results show that the proposed algorithm performs well at low SNRs.

关键词： Cognitive Radio Cyclostationarity Signal detection Amplitude Modulation signal acquisition Cognitive radio amplitude modulation FIRST ORDER signal bandwidth signal parameter signal to noise ratios detection algorithms RADIO SPECTRA

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Gray level topological angle detection of high curvature points

Gray level topological angle detection of high curvature poi...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Ibrahim Kivanç Ci̇han Hakan Güray Şenel HAVELSAN EHSiM A.S. ODTÜ Teknokent Gumus Bloklar Ankara Turkey Department of Electrical & Electronics Engineering Anadolu University Eskisehir Turkey

A new method of angle detection based on the topological median filter is proposed. Topological opening operator is used to detect corners and Topological closing operator is used to calculate the corner angles on gra... 详细信息

关键词： Pixel Filtering theory Finite element methods Shape Pattern recognition detection algorithms Error analysis

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Radio Transmitter Fingerprint Identification Using a Novel Method of Weighted Multi-feature Joint detection Algorithm

Radio Transmitter Fingerprint Identification Using a Novel M...

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WRI International Conference on Communications and Mobile Computing, CMC

作者： Qijun Wu Bingbing Li National Key Laboratory of ISN Xidian University Xi'an Shaanxi China

ISBN: (纸本)9781424463275;9780769539898

Radio transmitter identification is a technology used to identify the target transmitter by the subtle characters marked the individual transmitter. However, how to extract some characteristics from a transmitter and how to use the relation between different characters to identify the transmitters is very difficult task in the radio transmitter identification. In order to overcome the deficiencies based on single character in the traditional method which has a low correct recognition rate, a novel classification method based on multi-feature joint detection for radio transmitter identification is proposed in this paper. This method has remarkably improved the correct recognition rate, and its rationality and validity can be shown by the simulation results.

关键词： Radio transmitters Fingerprint recognition detection algorithms Signal processing Feature extraction Radiofrequency identification Frequency Space technology Military computing Employee welfare

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Regularized blind detection for MIMO communications

Regularized blind detection for MIMO communications

引用

IEEE International Symposium on Information Theory

作者： Yuejie Chi Yiyue Wu Robert Calderbank Department of Electrical Engineering Princeton University Princeton NJ USA

ISBN: (纸本)9781424478903

Multiple-Input Multiple-Output (MIMO) systems improve the throughput and reliability of wireless communications. Perfect Channel State Information (CSI) is needed at the receiver to perform coherent detection and achieve the optimal gain of the system. In fast fading and low SNR regimes, it is hard or impossible to obtain perfect CSI, which leads the receiver to operate without knowledge of the CSI and perform blind detection. In reality CSI may be available to the receiver but this CSI may be insufficient to support coherent detection. In this paper, we fill the gap between coherent and blind detection by considering a more realistic model where the receiver knows the statistics of the channel, that is Channel Distribution Information (CDI). We propose a new detection algorithm, called Regularized Blind detection (RBD), where coherent and blind detection can be viewed as special cases in our model. The algorithm estimates CDI from any training symbols that are available and maximizes performance given the estimated CDI. Simulations demonstrate significant improvement in performance over blind detection. Our work can be viewed as a systematic exploration of space between coherent and blind detection with a strong Bayesian statistic flavor.

关键词： MIMO Space exploration Throughput Wireless communication Channel state information Performance gain Fading Statistical distributions detection algorithms Bayesian methods

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Combination of weak classifiers for metallic corrosion detection and guided crack location

Combination of weak classifiers for metallic corrosion detec...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Francisco Bonnin-Pascual Alberto Ortiz Department of Mathematics and Computer Science University of Balearic Islands Spain

Periodic visual inspection of the internal and external parts of vessels hull is typically performed by trained surveyors at great cost. Assisting them during the inspection process by means of mechanisms capable of defect detection would certainly decrease inspection cost. With this aim, this paper presents a corrosion detection algorithm built around a weak classifiers cascade scheme and reports on its performance. As a secondary contribution, a crack detection approach guided by the output of the corrosion detector is also proposed. As a result, false positives rate is reduced as well as the computation time.

关键词： Pixel Corrosion Detectors Inspection Surface cracks detection algorithms Histograms

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Research on Indoor Localization Algorithm Based on Multi-scale Features detection

Research on Indoor Localization Algorithm Based on Multi-sca...

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International Conference on Computational and Information Sciences (ICCIS)

作者： Xu Chen Huiqing Zhang College of Electronic Information and Control Engineering Beijing University of Technology Beijing China

As the result of the requirements of accuracy and speediness of indoor localization algorithm, we improved the performance of corner detection algorithm. In this paper, the theory of multi-scale is introduced into the classical harris algorithm, and detects local maximum points at each scale level. This method might overcome the drawback that the single-scale harris detector usually leads to either missing significant corners or detecting false corners due to noise, and it not only maintains the advantages of traditional harris corner which is invariant to the changes of intensity and camera pose but also can be used in multi-scale. Experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： Feature extraction Correlation detection algorithms Target tracking Image edge detection Convolution

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