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Image bag generator based on bag of visual words

Journal of Information and Computational science 2013年第5期10卷 1453-1462页

作者： Zhao, Shu Xu, Chao Xu, Xiansheng Xu, Chenchu Zhang, Yanping Ye, Hong School of Computer Science and Technology Anhui University Hefei 230039 China Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China Insurance Office Anhui Provincial Hospital Hefei 230001 China

Multi-instance learning is a good tool to deal with the ambiguity of image in Content-based Image Retrieval (CBIR). According to some researchers' work, image bag generator which transforms an image into an instance bag plays an important role in applying multi-instance learning for CBIR. In this paper, the bag generator based on bag of visual words, named Vdbag, is proposed. First, it extracts local features of image from all images, and then it obtains a set of visual words called visual vocabulary by clustering local features where each local cluster's center is a visual word. Our work mainly includes (1) We introduce bag of visual words into image bag generator. (2) We give a reasonable description to express the instance in an image bag. We add the frequency of each visual word as the last dimension of this visual word to construct the corresponding instance. Experimental results with Corel image database show that the proposed method could achieve better precision than that of some existing bag generators. © 2013 Binary Information Press.

关键词： Content based retrieval

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On the performance of hybrid satellite-terrestrial cooperative networks with interferences

On the performance of hybrid satellite-terrestrial cooperati...

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Asilomar Conference on signals, Systems & Computers

作者： Min Lin Jian Ouyang Wei-Ping Zhu National Mobile Communications Research Laboratory Southeast University Nanjing P.R. China PLA University of Science and Technology Nanjing P.R. China Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing P.R. China Department of Electrical and Computer Engineering Concordia University Montreal QC Canada

ISBN: (纸本)9781479982981

The paper investigates the performance of a hybrid satellite-terrestrial cooperative network (HSTCN), where some terrestrial amplify-and-forward (AF) relays are employed to assist the signal transmission from a satellite to a destination, which is corrupted by multiple co-channel interferences (CCIs). In this system, the satellite links undergo Shadowing-Rician fading while the terrestrial links experience Rayleigh fading. Specifically, by assuming that maximum ratio combining (MRC) is used at the destination, we first derive the moment generating function (MGF) of the output signal-to-interference-plus-noise ratio (SINR). With the help of MGF, we then present the analytical average symbol error rate (ASER) expression for the considered cooperative system. Moreover, to gain further insights, the asymptotic ASER analysis in terms of the diversity order and array gain is also developed. Finally, numerical results are given to demonstrate the validity of the performance analysis and the impacts of shadowing parameters, relay number and CCIs on the considered HSTCN.

关键词： Relays Satellites signal to noise ratio Fading Cooperative systems Shadow mapping Modulation

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COLOCATED MIMO radar SIDELOBE SUPPRESSION USING RANDOM SPACE-TIME CODING

COLOCATED MIMO RADAR SIDELOBE SUPPRESSION USING RANDOM SPACE...

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IET International radar Confernce

作者： S. H. Zhou B. C. Liu K. Y. Yin Q. Liu H. W. Liu National Laboratory of Radar Signal Processing Xidian University Nanjing Research Institute of Electronic Technology

ISBN: (纸本)9781629931340

For colocated multiple-input multiple-output (MIMO) radar transmitting orthogonal polyphase coded waveform, a low range, angular and Doppler sidelobe is desirable. In this paper, we propose a MIMO radar sidelobe suppression method based on random space-time coding (STC) method. In detail, at each pulse repetition period, a random STC matrix, composed of a diagonal random phase matrix multiplied by a random permutation matrix, is modulated to waveforms before transmission. Such a kind of STC matrix can keep the constant modulus property of transmitting waveforms and can decrease range, angular and Doppler sidelobe significantly.

关键词： Colocated MIMO radar Rader sidelobe suppression Space-time coding

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High Resolution DOA Estimation Algorithm based on Nonuniform L-shaped Array

High Resolution DOA Estimation Algorithm based on Nonuniform...

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2013 2nd International Conference on Advances in Computer science and Engineering(CSE 2013)

作者： Lanmei Wang Zhihai Chen Guibao Wang Department of Physics School of Science Xidian University National Laboratory of Radar Signal Processing Xidian University

A parameter estimation algorithm of direction of arrival(DOA), based on a nonuniform L-shaped array, is presented for plane-wave signals. According to relation of the two x-axis and y-axis subarrays, a set of rough but unambiguous direction cosines estimates in x and y direction are obtained. By disambiguating the phase ambiguities another set of precise and unambiguous direction cosines estimates in x and y direction are obtained. Without spectral peak searching, this method has advantages of the small amount of calculation and high precision. Simulation results verify the effectiveness of the algorithm.

关键词： high resolution array signal processing parameter estimation subspace method phase ambiguity

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On the performance of dual-hop multi-antenna AF transmission with interference at the relay

On the performance of dual-hop multi-antenna AF transmission...

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General Assembly and Scientific Symposium, URSI

作者： Min Lin Kang An Jian Ouyang Heng Wei National Mobile Communications Research Laboratory Southeast University Nanjing P. R. China Nanjing Institute of Telecommunication Technology Nanjing P. R. China College of Communication Engineering PLA University of Science and Technology Nanjing P. R. China Institute of Signal Processing and Transmission Nanjing University of Posts and Telecommunications Nanjing P. R. China

ISBN: (纸本)9781467352246

This paper studies the effects of antenna correlation and co-channel interference (CCI) on a dual-hop amplify-and-forward (AF) relay network over Rayleigh fading channels, where the source and destination are equipped with a single antenna, while the relay has multiple antennas. By assuming that beamforming (BF) based on the available statistical channel state information (SCSI) is applied, we first obtain the output signal-to-interference-plus-noise ratio (SINR) of the considered dual-hop AF transmission with CCI at the relay. Then, we derive the analytical expressions for the outage probability (OP) and average symbol error rate (ASER) of the AF relaying. Finally, computer simulations are provided to validate the analytical results and quantify the effects of antenna correlation and CCI on the system performance.

关键词： Antennas Correlation Fading Interference Relay networks (telecommunications) Array signal processing

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A quasi-static clustering algorithm in mobile heterogeneous sensor network

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Journal of Computational Information Systems 2013年第9期9卷 3741-3749页

作者： Wang, Bingting Lin, Qibin Hu, Yanjun Liang, Hui Wang, Xianbing Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China School of Mechanical and Electronic Engineering Chuzhou University Chuzhou 239000 China School of Information Science and Technology Southwest Jiaotong University Chengdu 610031 China

In this paper, we constructed the architecture of mobile heterogeneous sensor network by introducing user equipments (UEs) in static wireless sensor network. We analyzed the failure of traditional static clustering algorithm, gave a set of parameters that affected the performance of cluster heads in the mobile environment and proposed a Quasi-Static Clustering Algorithm (QSCA). Through theoretical analysis and simulation, this algorithm can reduce average delay and prolong network lifetime. We verified the adaptability of QSCA algorithm to energy consumption and dynamic topology by comparing with the LEACH algorithm. © 2013 by Binary Information Press.

关键词： Clustering algorithms

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The novel seeding-based semi-supervised fuzzy clustering algorithm inspired by diffusion processes

The novel seeding-based semi-supervised fuzzy clustering alg...

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10th International Symposium on Neural Networks, ISNN 2013

作者： Gu, Lei Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing 541004 Guilin China School of Computer Science and Technology Nanjing University of Posts and Telecommunications 210023 Nanjing China

ISBN: (纸本)9783642390647

Semi-supervised clustering can take advantage of some labeled data called seeds to bring a great benefit to the clustering of unlabeled data. This paper uses the seeding-based semi-supervised idea for a fuzzy clustering method inspired by diffusion processes, which has been presented recently. To investigate the effectiveness of our approach, experiments are done on three UCI real data sets. Experimental results show that the proposed algorithm can improve the clustering performance significantly compared to other semi-supervised clustering approaches. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Fuzzy clustering

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A locality sensitive k-means clustering method based on genetic algorithms

A locality sensitive k-means clustering method based on gene...

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4th International Conference on Advances in Swarm Intelligence, ICSI 2013

作者： Gu, Lei Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing Gulin 541004 China School of Computer Science and Technology Nanjing University of Posts and Telecommunications Nanjing 210023 China

ISBN: (纸本)9783642387142

The locality sensitive k-means clustering has been proposed recently. However, it performance depends greatly on the choice of the initial centers and only proper initial centers enable this clustering approach to produce a better accuracies. In this paper, an evolutionary locality sensitive k-means clustering method is presented. This new approach uses the genetic algorithms for finding its initial centers by minimizing the Davies Bouldin clustering validity index regarded as the fitness function. To investigate the effective of our approach, some experiments are done on several datasets. Experimental results show that the proposed method can get the clustering performance significantly compared to other clustering algorithms. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Genetic algorithms

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A fuzzy supervised learning method with dynamical parameter estimation for nonlinear discriminant analysis

A fuzzy supervised learning method with dynamical parameter ...

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作者： Song, Xiaoning Liu, Zi Yang, Xibei Yang, Jingyu School of Computer Science and Engineering Jiangsu University of Science and Technology Zhenjiang 212003 China School of Computer Science and Technology Nanjing University of Science and Technology Nanjing 210094 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei 230039 China

In this paper, we develop a novel fuzzy supervised learning algorithm based on the dynamical parameter estimation. First, a reformative supervised fuzzy LDA algorithm (RF-LDA) for the training samples is proposed. Compared with the conventional fuzzy LDA algorithm, the presented algorithm computes the discriminant vectors associated with the membership grade from each training sample, which is theoretically effective in overcoming the classification limitation originating from the imprecise samples. Second, when a novel fuzzy LDA model is required in order to take some decision about the feature extraction and classification, the dynamical parameter estimation method of the fuzzy LDA model should recursively process the measured data as they become available. In the line of previous arguments, we approach the problem of control parameter estimation of RF-LDA by considering the formulation of a Hopfield Neural Network (HNN), which is named HRF-LDA. Third, considering the fact that the Kernel Fisher Discriminant (KFD) is effective in extracting the nonlinear discriminative information of the feature space by using kernel trick, a kernel version of HRF-LDA is presented subsequently, which has the potential to outperform the traditional fuzzy learning algorithms, especially in the cases of nonlinear small sample sizes. The advantage of this learning algorithm is that it successfully utilizes the improved kernel fuzzy LDA algorithm as a supervised feature extraction tool. Meanwhile, by means of the control parameter estimation, we address the problem that the particular value of offset in the calculation of the grade of membership is dynamically assigned. Extensive experimental studies conducted on the ORL, NUST603, FERET, Yale and XM2VTS face images show the effectiveness of the proposed fuzzy integrated algorithm. © 2013 Elsevier Ltd. All rights reserved.

关键词： Parameter estimation

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Linear projective non-negative matrix factorization

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ICIC Express Letters 2013年第8期7卷 2285-2291页

作者： Hu, Lirui Wu, Jianguo Wang, Lei Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University No. 3 Feixi Road Hefei 230039 China School of Computer Science and Technology Nantong University No. 9 Seyuan Road Nantong 226019 China School of Computer Science and Technology Anhui University No. 3 Feixi Road Hefei 230039 China

In order to solve the problem that the iterative method for Linear Projection- Based Non-negative Matrix Factorization (LPBNMF) is complex, a method, called Linear Projective Non-negative Matrix Factorization (LP-NMF), is proposed. In LP-NMF, from projection and linear transformation angle, an objective function of Frobenius norm is defined. The Taylor series expansion is used. An iterative algorithm for basis matrix and linear transformation matrix is derived, and a proof of algorithm convergence is provided. Experimental results show that the algorithm is convergent;relative to Nonnegative Matrix Factorization (NMF), the orthogonality and the sparseness of the basis matrix are better;in face recognition, there is higher recognition accuracy. The method for LP-NMF is effective. © 2013 ICIC International.

关键词： Linear transformations

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