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| 1 | THE M/M/c QUEUE WITH PH SYNCHRONOUS VACATIONS显示文摘1.IntroductionRecently,singleserverqueueswithvacationshavebeenstudiedextensivelyfromtheirowntheoreticalinterestaswellastheirapplicationstomanyengineeringsystemssuchascomputers,communicationnetworksandmanufacturingsystems.FOrtheM/G/lqueueingsystemswit... | TIAN Nai shuo (Department of Mathematics, Yanshan University, Qinhuangdao 066004,China) LI Quan lin (National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, China) | 2000 | Systems Science and Mathematical Sciences2000，13，1： | 13 |
| 2 | A NON-PARAMETER BAYESIAN CLASSIFIER FOR FACE RECOGNITION显示文摘A non-parameter Bayesian classifier based on Kernel Density Estimation (KDE)is presented for face recognition, which can be regarded as a weighted Nearest Neighbor (NN)classifier in formation. The class conditional density is estimated by KDE and the bandwidthof the kernel function is estimated by Expectation Maximum (EM) algorithm. Two subspaceanalysis methods-linear Principal Component Analysis (PCA) and Kernel-based PCA (KPCA)are respectively used to extract features, and the proposed method is compared with ProbabilisticReasoning Models (PRM), Nearest Center (NC) and NN classifiers which are widely used in facerecognition systems. The experiments are performed on two benchmarks and the experimentalresults show that the KDE outperforms PRM, NC and NN classifiers. | Liu Qingshan Lu Hanqing Ma Songde (Nat. Lab of Pattern Recognition, Inst. of Automation, Chinese Academy of Sciences, Beijing 100080) | 2003 | Journal of Electronics(China)2003，20，5： | 9 |
| 3 | Face Recognition Based on Support Vector Machine and Nearest Neighbor Classifier显示文摘Support vector machine (SVM), as a novel approach in pattern recognition, has demonstrated a success in face detection and face recognition. In this paper, a face recognition approach based on the SVM classifier with the nearest neighbor classifier (NNC) is proposed. The principal component analysis (PCA) is used to reduce the dimension and extract features. Then one-against-all stratedy is used to train the SVM classifiers. At the testing stage, we propose an algorithm by combining SVM classifier with NNC to improve the correct recognition rate. We conduct the experiment on the Cambridge ORL face database. The result shows that our approach outperforms the standard eigenface approach and some other approaches. | Zhang Yankun & Liu Chongqing Institute of Image Processing and Pattern Recognition, Shanghai Jiao long University, Shanghai 200030 P.R.China | 2003 | Journal of Systems Engineering and Electronics2003，14，3： | 8 |
| 4 | Approximate computation of Madaline sensitivity based on discrete stochastic technique显示文摘The computation of the sensitivity of a Madaline's output to its parameter perturbation is system- atically discussed. Firstly, according to the discrete feature of Adalines, a method based on discrete stochastic technique is proposed, which derives some analytical formulas for the computation of Adalines' sensitivity. The method can theoretically solve some problems that are unsolvable by the existing methods based on continu- ous stochastic techniques, release some unpractical constraints, and make it available to theoretically analyze the approximation error of Adalines' sensitivity. Secondly, on the basis of the sensitivity of Adalines and the structural characteristics of Madalines, a new selection strategy depending on a type of dedication degree for computing Madalines' sensitivity is proposed, which is superior to current popular way of simply averaging in both precision and complexity. The proposed formulas and algorithm have the advantages of simplicity, low computational complexity, small approximation error, and high generality, as have been verified by a great amount of experimental simulations. | ZHONG ShuiMing , ZENG XiaoQin, LIU HuiYi & XU Yan Institute of Pattern Recognition and Intelligent System, College of Computer and Information Engineering, Hohai University, Nanjing 210098, China | 2010 | Science China(Information Sciences)2010，53，12： | 2 |
| 5 | Wireless Location Determination for Mobile Objects Based on GSM in Intelligent Transportation Systems显示文摘The mobile object (MO) location determination technologies which can be used in intelligent transportation system (ITS) are studied in this paper. The principles and characteristics of wireless location determination technologies are introduced and the characteristics of GSM useful for location determination are also summarized. An experimental positioning system based on GSM is proposed, and the architecture is described. TOA method based on GSM signals and TDOA method are used in the experimental system. Moreover, the methods are simulated. The performance of the positioning methods is assessed in the simulation environment, and the accuracy for 67% mobile stations (MS) is 70m in urban areas. | Xu Zhiyang & Shi Pengfei Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, P. R. China | 2003 | Journal of Systems Engineering and Electronics2003，14，2： | 2 |
| 6 | A DETECTION METHOD OF HIGH RESOLUTION RADAR TARGETS BASED ON POSITION CORRELATION显示文摘This paper studies a detection method of targets of high resolution radar operating at the band of millimeter-wave(32-38GHz) under the background of the clutters, and proposes a new nonparametric detection method, which not only does less computation, but also is able to detect multiple extended targets radially distributed along distance 'corridor', based on the position (range) correlation information of one-dimensional range images(or called range profiles) of high resolution radar targets. The experimental results, on the real echo data of tank illuminated by the millimeter-wave stepped frequency high resolution radar, have certified that such a method presented in this paper is a very effective detection method for multiple extended targets. | Huang Deshuang(National Laboratory of Pattern Recognition, Institute of Automation, Academia Sinica, Beijing 100080)Han Yueqiu(Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081) | 1998 | Journal of Electronics(China)1998，15，2： | 2 |
| 7 | Hypotheses Generation and Auditor Performance in an Analytical Task 显示文摘 | Bedard J C Biggs S F Pattern Recognition | 1991 | The AccountingReview1991，66，3： | 1 |
| 8 | Detecting Lags in Nonlinear Models Using General Mutual Information显示文摘The general mutual information (GMI) and general conditional mutual information (GCMI) are considered to measure lag dependences in nonlinear time series. Both of the measures have the property of invariance with transform. The statistics based on GMI and GCMI are estimated using the correlation integral. Under the hypothesis of independent series, the estimators have Gaussian asymptotic distributions. Simulations applied to generated nonlinear series demonstrate that the methods appear to find frequently the correct lags. | Wei GAO1,2, Zheng TIAN1,3 1. Department of Applied Mathematics, Northwest Polytechnical University, Shaanxi 710072, P. R. China 2. School of Statistics, Xi’an University of Finance & Economics, Shaanxi 710061, P. R. China 3. National Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing 100080, P. R. China | 2010 | Journal of Mathematical Research and Exposition2010，30，1： | 1 |
| 9 | Two novel characteristics in palmprint veripcation:datum point invariance and line feature matching显示文摘 | | 1999 | Pattern Recognition1999，32，： | 1 |
| 10 | Regularities of Formation of Ternary Intermetallic Compounds between One Transition Element and Two Non-transition Elements显示文摘The pattern recognition methods and a four-parameter model, based on extension of Miedema’s cellular model of alloy phases, are used to study the regularities of formation of ternary com- pounds between one transition element (T) and two non-transition elements (N, N’) (T-N-N’ system). The influences of φ (electronegativity), (valence electron density in Wagner-Seitz cell), .R(Pauling’s metallic radii) and Z (number of valence electrons in atom) on the formation of the ternary intermetallic compounds were investigated. | Lixiu YAO, Nianyi CHEN and Jie YANG Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China | 2001 | Journal of Materials Science & Technology2001，17，6： | 0 |
| 11 | PROBABILISTIC ANALYSIS OF GALERKIN-LIKE METHODS FOR THE FREDHOLM EQUATION OF THE SECOND KIND显示文摘This paper deals with the approximate solution of the Fredholm equation u TKu = f of the second kind from a probabilistic point of view. With Wiener typemeasures on the set of kernels and free terms we determine statistical features of the approximation process, i.e., the most likely rate of convergence and the dominating individual behavior. The analysis carried out for a kind of Galerkin-like method. | Tian-zi Jiang (School of Mathematics, The University of New South Wales, Sydney 2052, Austmlia National Laborutory of Pattern Recognition, Institute of Automation,Chinese Academy of Sciences, Beijing 100080, China) | 1998 | Journal of Computational Mathematics1998，16，5： | 0 |
| 12 | A Method for Range Image Registration via Neural Network and ICP Algorithm显示文摘In this paper,a new integrated registration algorithm based on neural network and ICP(iterative closest point) algorithm is presented.A coarse registration process is implemented with neural network,and then further optimized by ICP algorithm.The corresponding point pairs are found according to the target points' curvature and color information.Mahalanobis distance,which reflects the scattering degree of point data,is employed to define the closest distance and the closest points.The results of the experiment show that our algorithm has better feasibility,validity and efficiency than the traditional ICP method. | LI Qingguang,GAO Cen,WU Xianfeng,LI Dehua Institute for Pattern Recognition and Artificial Intelligence,Huazhong University of Science and Technology,Wuhan 430074,Hubei,China | 2010 | Wuhan University Journal of Natural Sciences2010，15，5： | 0 |
| 13 | Bi-mel-scale frequency cepstrum and its application in telephone speech recognition显示文摘A new kind of feature for speech recognition, called Bi-Mel-scale Frequency Cepstrum (BMFC) is proposed. To calculate the BMFC, the speech signal is first segmented into short intervals and the bispectrum of each segment is estimated; then the bispectrum is smoothed by two-dimensional mel-scale inverse filter bank; finally, the bi-mel-scale frequency cepstrum coefficients are obtained by decorrelating the outputs of the filter bank with twodimensional Discrete Cosine Transform (DCT). Preliminary experiments show that the new feature can improve the performance of a telephone speech recognizer and is more robust to white noise than the conventional LPCC (Linear Prediction Coefficients) and MFCC (Mel-scale Frequency Cepstrum Coefficents) used in speech | CHEN Jingdong XU Bo HUANG Taiyi(National Laboratory of Pattern Recognition, Institute of Automation Chinese Academy of Sciences Beijing 100080) | 1998 | Chinese Journal of Acoustics1998，17，3： | 0 |
| 14 | Improved discriminative training for generative model显示文摘This article proposes a model combination method to enhance the discriminability of the generative model.Generative and discriminative models have different optimization objectives and have their own advantages and drawbacks.The method proposed in this article intends to strike a balance between the two models mentioned above.It extracts the discriminative parameter from the generative model and generates a new model based on a multi-model combination.The weight for combining is determined by the ratio of the inter-variance to the intra-variance of the classes.The higher the ratio is,the greater the weight is, and the more discriminative the model will be.Experiments on speech recognition demonstrate that the performance of the new model outperforms the model trained with the traditional generative method. | WU Ya-hui,GUO Jun,LIU Gang Laboratory of Pattern Recognition and Intelligent System,Beijing University of Posts and Telecommunications,Beijing 100876,China | 2009 | The Journal of China Universities of Posts and Telecommunications2009，16，3： | 0 |
| 15 | Research on hoarse speech based on vocal cord model and glottal waveform显示文摘Considering the fact that hoarse speech is usually caused by pathological changes of vocal cords, and its motion state is reflected by glottal waveform, we present a new method of research on hoarse speech based on dissymmetric four-mass model of vocal cords and glottal wave analysis-synthesis ill this paper. By linking hoarse speech waveform with glottal wave and the vocal cord model, the characteristic parameters of normal speech and hoarse speech before and after laryngeal operation are studied. The parameters of glottal wave periodicity and vocal cord symmetry of hoarse speech are compared with those of normal speech. It is applied to analyzing the relations between model parameters and hoarse mechanism in pathology and physiology. Experimental results show that this new method can unveil the relations between acoustic features and pathological causes of hoarse speech, providing theoretical and experimental bases both for diagnosing laryngeal diseases non-contactly and for improving the tone quality of hoarse speech. | ZHENG Yi(Dept. of Electronic Engineering, Shantou University Shantou, 515063)JIANG Gangyi ZHANG Lihe and CAI Jinhai(Dept. of Electronic Engineering, Hangzhou University Hangzhou, 310028)(Open Lab. of Artificial Intelligence and Pattern Recognition, Shanto | 1997 | Chinese Journal of Acoustics1997，16，1： | 0 |
| 16 | ADAPTIVE MULTISCALE EDGE DETECTION BASED ON VISION FEATURE OF EDGE AND WAVELET TRANSFORM显示文摘A new rnultiscale edge detection method is presented, which is based on an effective edge measure. The effective edge measure, used to adaptively adjust the scales of wavelet transform, is defined using the novel features of image edge obtained from human being vision characteristics. Finally, two experiments show that the proposed algorithm appears to work well. | Yang Xuan Liang Dequn (Laboratory of Image Process and Pattern Recognition, Xi’an Jiaotong University, Xi’an 710049) | 1999 | Journal of Electronics(China)1999，16，2： | 0 |
| 17 | THE HIDDEN MARKOV MODEL OF CO-ARTICULATION AND ITS APPLICATION TO THE CONTINUOUS SPEECH RECOGNITION显示文摘The co-articulation is one of the main reasons that makes the speech recognition difficult. However, the traditional Hidden Markov Models(HMM) can not model the co-articulation, because they depend on the first-order assumption. In this paper, for modeling the co-articulation, a more perfect HMM than traditional first order HMM is proposed on the basis of the authors’ previous works(1997, 1998) and they give a method in that this HMM is used in continuous speech recognition by means of multilayer perceptrons(MLP), i.e. the hybrid HMM/MLP method with triple MLP structure. The experimental result shows that this new hybrid HMM/MLP method decreases error rate in comparison with authors’ previous works. | Lee Tranzai Zheng Fang Wu Wenhu Chen Daowen(Speech Lab., Dept. of Computer Sciences and Technology, Tsinghua University, Beijing 100084) (National Lab. of Pattern Recognition, Inst. of Automation, Chinese Academy of Sci., Beijing 100080) | 2000 | Journal of Electronics(China)2000，17，3： | 0 |
| 18 | Passive sonar identification Ⅰ:Overall framework and extraction of line-spectrum显示文摘This series of papers deal with vessels-target recognition. The project is conducted by using fuzzy neuraI networks and basing recognition on the spectra of vessel radiated-noise. Paper (Ⅰ) describes the characteristics of vessel radiated-noise spectra, which are composed of two distinctive categories: the stationary and the non-stationary. The project framework is introduced in the paper. It includes two steps. One is to extract effectively recognizable features (those common in one category and those distinguish categories). The other is to memorize the characteristics of specific vessel targets. The memorization is realized with characteristics pattern plate library of specific vessels (including line spectrum, double-frequency spectrum and average power spectrum pattern plate library). Detailed discussions on theories, models, parameter analysis, line-spectrum extraction methods, as well as gaps between reality and theory concerning vessels radiated-noise are also included in Paper (Ⅰ). Paper (Ⅰ) finally proposes a method of automatic extraction of line spectrum by using machines. Paper (Ⅱ) will discuss the stability, uniqueness of line spectrum and its pattern plate. Paper (Ⅲ) will focus on the extraction of features from double-frequency spectrum and average power spectrum, and the establishment of their pattern plates. Paper (Ⅳ) will discuss fuzzy neural networks and recognition | WU Guoqing JI Shunxin LI Jing CHEN Yaoming(Institute of Acoustics, Chinese Academy Of Sciences Beijing 100080)(National Laboratory of Pattern Recognition, Chinese Academy of Sciences Beijing 100080)LI Xungao(Naval Submarine Institute Qindao 266071) | 1999 | Chinese Journal of Acoustics1999，18，2： | 0 |
| 19 | Study on the Medical Image Distributed Dynamic Processing Method显示文摘To meet the challenge of implementing rapidly advanced, time-consuming medical image processing algorithms,it is necessary to develop a medical image processing technology to process a 2D or 3D medical image dynamically on the web. But in a premier system, only static image processing can be provided with the limitation of web technology. The development of Java and CORBA (common object request broker architecture) overcomes the shortcoming of the web static application and makes the dynamic processing of medical images on the web available. To develop an open solution of distributed computing, we integrate the Java, and web with the CORBA and present a web-based medical image dynamic processing methed, which adopts Java technology as the language to program application and components of the web and utilies the CORBA architecture to cope with heterogeneous property of a complex distributed system. The method also provides a platform-independent, transparent processing architecture to implement the advanced image routines and enable users to access large dataset and resources according to the requirements of medical applications. The experiment in this paper shows that the medical image dynamic processing method implemented on the web by using Java and the CORBA is feasible. | Zhang Quanhai & Shi PengfeiInstitute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, P. R. China | 2003 | Journal of Systems Engineering and Electronics2003，14，4： | 0 |
| 20 | Skew Detection for Binary Document Images Using Mathematical Morphyology显示文摘The input document images with skew can be a serious problem in the optical character recognition system. A method is proposed for skew detection in binary document images using mathematic morphology. The basic process of our approach consists of three steps: Firstly, a dilation operation is applied to the binary image; Secondly, the dilated image is thinned; Finally, the skew angle is detected using the Hough transform. The proposed approach with high precision can detect skew with large angle (-90°\|90°). The experimental result shows this method is applicable and efficient. | Xu Hong bo 1, Tian Yan 2 1. Department of Physics, Central China Normal University, Wuhan 430079, Hubei, China 2. Institute of Pattern Recognition and Artifical Intelligence, Huazhong University of Science and Technology, Wuhan 430074,Hubei, China | 2002 | Wuhan University Journal of Natural Sciences2002，7，3： | 0 |
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