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检索条件"主题词=detection Algorithms"

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Face detection Method Based on a New Nonlinear Transformation of Color Spaces

Face Detection Method Based on a New Nonlinear Transformatio...

引用

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Zhengzhen Zhang Yuexiang Shi School of Information Engineering Xingtan University Xiangtan China

In this paper, against Hsu R L skin tone detection algorithm, which has high missing detection ratio when the facial brightness of an image is high, we introduce a new nonlinear transformation method of the YCb "Cr" color skin space, which is the color segmentation of the human face for regional analysis and extraction; Then implement image rotation and template matching. Experimental results indicate that when the facial brightness of an image is high, the new proposed nonlinear color space conversion algorithm based on YCbCr color space is better than the simple method, which wipes off the effect of the brightness directly, and Hsu R L skin detection algorithm. The series of experimental results demonstrate clearly that our new method has a higher detection ratio on high bright facial images, and can drop the false or missing detection ratio on high luminance images. Besides, we have more detailed testing results on the eyes, eyebrows, mouth and other parts.

关键词： Face detection Skin Brightness Image color analysis detection algorithms Chromium Image segmentation Humans Image analysis Algorithm design and analysis

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Research on detection Algorithm of Multi-Class Telephone Signal Tones

Research on Detection Algorithm of Multi-Class Telephone Sig...

引用

2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)

作者： Shan Zhong Weiqiang Zhang Jia Liu Department of Electronic Engineering Tsinghua University Beijing 100084 China

This paper not only proposes the detection algorithm of traditional ring signal tones, but also researches the Color Ring Back Tone which is well popular recent years. Different testing methods are given according to the difference of music color ring tone and voice prompt color ring tone. Tested on RMTS (Real-world Multi-channel Telephone Speech) database, experiments show that the detection rates of ring tone, music color ring tone, voice prompt color ring tone and virtual speech reach 100%, 98.5%, 98% and 97.5% respectively, 98.5% totally.

关键词： Music Speech Training detection algorithms Color Testing Speech recognition

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The Impact of Adaptive Speckle Filtering on Multi-Channel SAR Change detection

The Impact of Adaptive Speckle Filtering on Multi-Channel SA...

引用

IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Jason Fritz V. Chandrasekar Electrical & Computer Engineering Department Colorado State University Fort Collins CO USA

One of the most promising applications of synthetic aperture radar (SAR) imagery is change detection. However, the success of change detection algorithms is highly dependent on the type of change being detected. With the advent of multi-channel SAR systems (multi-frequency and/or polarimetric) new algorithms to improve change detection are being developed to take advantage of the additional information. However, these algorithms are still hindered by the speckle phenomena of radar imaging. Adaptive neighborhood filtering techniques have been shown to be effective to reduce speckle, but the impact on change detection has not been explored. The research presented explores the impact of an adaptive filtering algorithm on the probability of detection for synthesized changes.

关键词： Speckle Adaptive filters Filtering Radar detection detection algorithms Change detection algorithms Testing Synthetic aperture radar Gas detectors Pixel

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Storage-Based Anomaly Intrusion detection Technology Based on D-S Evidence Theory

Storage-Based Anomaly Intrusion Detection Technology Based o...

引用

International Conference on Computer and Electrical Engineering, ICCEE

作者： Jingfeng Xue Fengnian Zhao Xiaolin Zhao Gang Shu School of Software Beijing Institute of Technology Beijing China

The storage operation of normal process in host system is analyzed and an anomaly intrusion detection method based on d-s evidence theory for storage system is proposed. The detector fuses multiple signatures of storage data to decide whether the storage operation flow is normal. Furthermore, six groups of light-computation signatures of storage operation data are used to develop an efficient fusion mechanism to guarantee high performance of the algorithm. Experiment shows that high detection rate can be achieved by such fusion.

关键词： Intrusion detection Statistics Probability Computational complexity Quantization Detectors Fuses detection algorithms Galois fields Uncertainty

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QRD-QLD Searching Based Sphere detection for Emerging MIMO Downlink OFDM Receivers

QRD-QLD Searching Based Sphere Detection for Emerging MIMO D...

引用

IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference

作者： Predrag Radosavljevic Kyeong Jin Kim Joseph R. Cavallaro Department of Electrical and Computer Engineering Rice University Houston TX USA Nokia Corporation Irving TX USA

In this paper, a detection algorithm with parallel partial candidate-search algorithm is presented. Two fully independent partial search processes are simultaneously employed for two groups of transmit antennas based on QR and QL decompositions of the channel matrix. Proposed QRD- QLD detection algorithm is compared with well-known QRD-M scheme adopted for several emerging wireless standards. Latency of the QRD-QLD candidate search is about twice as small for similar error-rate performance and for identical hardware resources. Total detection latency of QRD-QLD algorithm that also includes computation of soft information for outer decoder is also substantially smaller.

关键词： MIMO Downlink OFDM Receiving antennas Transmitting antennas Delay detection algorithms Parity check codes Maximum likelihood decoding Computational complexity

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A Scientific Theme Emergence detection Approach Based on Citation Graph Analysis

A Scientific Theme Emergence Detection Approach Based on Cit...

引用

International Conference on Tools for Artificial Intelligence (ICTAI)

作者： Tieyun Qian Phillip C-Y Sheu Shijun Li Lina Wang Wuhan University Wuhan Hubei CN Department of EECS University of California Irvine USA Computer School Wuhan University China

Citation graph analysis has been used to evaluate the significance of documents and authors, or to estimate the impact of publication venues. In this paper, we investigate its new application in topic identification. We first model the communities in the citation graph as related documents on a specific topic. And then, a scientific theme detection algorithm is proposed based on community partition, attempting to identify the emergency of a new theme by tracking the change of the community where the top cited nodes lie in. Experimental results on real dataset show that the proposed method can detect new topic timely with only a subset of data.

关键词： Citation analysis detection algorithms Artificial intelligence Software engineering State estimation Application software Fuses Costs History

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Anomaly detection Support Vector Machine and Its Application to Fault Diagnosis

Anomaly Detection Support Vector Machine and Its Application...

引用

IEEE International Conference on Data Mining (ICDM)

作者： Ryohei Fujimaki NEC Common Platform Software Research Laboratories

We address the issue of classification problems in the following situation: test data include data belonging to unlearned classes. To address this issue, most previous works have taken two-stage strategies where unclear data are detected using an anomaly detection algorithm in the first stage while the rest of data are classified into learned classes using a classification algorithm in the second stage. In this study, we propose anomaly detection support vector machine (ADSVM) which unifies classification and anomaly detection. ADSVM is unique in comparison with the previous work in that it addresses the two problems simultaneously. We also propose a multiclass extension of ADSVM that uses a pairwise voting strategy. We empirically present that ADSVM outperforms two-stage algorithms in application to an real automobile fault dataset, as well as to UCI benchmark datasets.

关键词： Fault detection Support vector machines Fault diagnosis Support vector machine classification detection algorithms Classification algorithms Voting Automobiles Benchmark testing Training data

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Density Based Outlier Mining Algorithm with Application to Intrusion detection

Density Based Outlier Mining Algorithm with Application to I...

引用

Pacific-Asia Workshop on Computational Intelligence and Industrial Application, PACIIA

作者： Peng Yang Biao Huang Chongqing University of Arts and Sciences Chongqing China

Presently, outlier mining is used for many areas such as telecommunication, finance and intrusion detection. However, finding outliers needs amounts of computation with most traditional algorithms. Thus, we propose a modified density based outlier mining algorithm in this paper. For every object in dataset, our algorithm need not judge whether there are core objects within the epsiv-neighborhood of it. In addition, the module information of data object is introduced in our algorithm and it can avoid large numbers of unnecessary computation to finding all outliers. The algorithm is applied on the intrusion dataset and experimental results show it obtains efficient performance for outlier mining while maintaining stable detection rates.

关键词： Intrusion detection Finance Conferences Computational intelligence Communication industry Computer industry Mining industry Art Telecommunication computing detection algorithms

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Joint Iterative detection for Multi-Code MIMO-OFCDM Systems

Joint Iterative Detection for Multi-Code MIMO-OFCDM Systems

引用

IEEE International Conference on Circuits and Systems for Communications (ICCSC)

作者： Yiqing Zhou Tung-Sang Ng Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong China

This paper investigates a two-dimensionally spread orthogonal frequency and code division multiplexing (OFCDM) system with multi-code transmission and multiple input multiple output (MIMO) multiplexing, where desired data signals are interfered by not only co-channel signals from other transmit antennas (or multi-antenna interference (MAI)), but also multi- code interference (MCI) from other code channels on the same antenna. Combining the iterative detection in the space domain and the hybrid MCI cancellation and minimum mean square error (MMSE) detection in the frequency domain, a joint iterative detection algorithm is proposed to cancel out MAI and MCI. For the 0 th loop of the joint iterative detection, a 2-stage hybrid detection is needed in the frequency domain, while for later loops, a 0-stage hybrid detection or pure MMSE is sufficient. The system performance improves as the number of loops in the joint iterative detection increases. Moreover, using joint iterative detection, larger frequency diversity gain can be achieved and the performance improves as the frequency domain spreading factor increases.

关键词： Frequency domain analysis Code division multiplexing OFDM MIMO Transmitting antennas Multiple access interference Mean square error methods detection algorithms System performance Frequency diversity

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detection of QRS Complexes Based on Biorthogonal Spline Wavelet

Detection of QRS Complexes Based on Biorthogonal Spline Wave...

引用

International Symposium on Information Science and Engineering, ISISE

作者： Xiuyu Zheng Zhen Li LinLin Shen Zhen Ji Texas Instruments DSPs Laboratory Shenzhen University Shenzhen China College of Information Engineering Shenzhen University Shenzhen China

Biorthogonal spline wavelet is used to detect the QRS complex of ECG signal. Mallat algorithm is applied in the decomposition of ECG signal by using the equivalent filter of a biorthogonal spline wavelet. Lipschitz exponent is introduced to investigate the relationship between the signal singularity (R Peak) and the zero-crossing point of the modulus maximum pair of the signal's wavelet transform. Adaptive threshold, refractory period and expiating are applied to improve the anti-interference performance. Experimental results demonstrated that this method is robust against time varying characteristics of QRS complex and noise. A correct detection rate of 99.905% has been achieved when the MIT-BIH arrhythmia database is used to test the proposed QRS complex detection algorithm.

关键词： Spline Electrocardiography Filters Instruments Digital signal processing Wavelet transforms Noise robustness Databases detection algorithms Signal analysis

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