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Learning Dual-Domain Calibration and Distance-Driven Correlation Filter:A Probabilistic Perspective for UAV Tracking

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computers, Materials & Continua 2023年第12期77卷 3741-3764页

作者： Taiyu Yan Yuxin Cao Guoxia Xu Xiaoran Zhao Hu Zhu Lizhen Deng Jiangsu Province Key Lab on Image Processing and Image Communication Nanjing University of Posts and TelecommunicationsNanjingChina School of Computer Science Qufu Normal UniversityQufuChina National Engineering Research Center of Communication and Network Technology Nanjing University of Posts and TelecommunicationsNanjingChina

Unmanned Aerial Vehicle(UAV)tracking has been possible because of the growth of intelligent information technology in smart cities,making it simple to gather data at any time by dynamically monitoring events,people,the environment,and other aspects in the *** traditional filter creates a model to address the boundary effect and time filter degradation issues in UAV tracking *** these methods ignore the loss of data integrity terms since they are overly dependent on numerous explicit previous regularization *** light of the aforementioned issues,this work suggests a dual-domain Jensen-Shannon divergence correlation filter(DJSCF)model address the probability-based distance measuring issue in the event of filter *** two-domain weighting matrix and JS divergence constraint are combined to lessen the impact of sample imbalance and *** new tracking models that are based on the perspectives of the actual probability filter distribution and observation probability filter distribution are proposed to translate the statistical distance in the online tracking model into response *** model is roughly transformed into a linear equality constraint issue in the iterative solution,which is then solved by the alternate direction multiplier method(ADMM).The usefulness and superiority of the suggested strategy have been shown by a vast number of experimental findings.

关键词： Dual-domain weighting distance measure correlation filter ADMM

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A Comparative Study of Image Features and Similarity Measurement Methods in Cross-modal Retrieval of Commodity Images

A Comparative Study of Image Features and Similarity Measure...

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2020 IEEE International Conference on Advances in Electrical Engineering and computer Applications, AEECA 2020

作者： Qiao, Baoxing Fan, Zhipeng Wang, Ran Zhao, Zhijie Zhang, Hongjie Harbin Univ. of Comm. Key Lab. of Electron. Comm. and Info. Processing of Heilongjiang Province School of Computer and Information Engineering Harbin China Graduate School of Harbin University of Commerce Key Laboratory of Electronic Commerce and Information Processing of Heilongjiang Province Harbin China

ISBN: (纸本)9781728165202

With the rapid development of information technology and the widespread popularity of mobile devices and e-commerce trading platforms, the number and scale of commodity images and corresponding description text and other multimedia data are growing rapidly, and the demand for cross-modal retrieval of commodity images is also increasing. Cross-mode hash method has been widely studied and applied. Based on the matrix three-factor decomposition hash cross mode retrieval method, the problem of mapping hash code with different modes is solved. In the cross-modal retrieval process, in order to study and analyze different similarity measurement methods, when searching for product image cross-modalities, in order to analyze the retrieval results of different similarity measurement methods, the potential characteristics of different images are The effect of the image is analyzed and the performance of cross-mode retrieval under the matrix three-factor decomposition hash framework is compared. The research results show the results of cross-modal retrieval of commodity images with different similarity measurement methods and different image underlying features. © 2020 IEEE.

关键词： Matrix algebra

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3D Representation of Chinese Event Factuality

3D Representation of Chinese Event Factuality

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第十五届汉语词汇语义学国际研讨会

作者： CAO Yuan ZHU Qiaoming LI Peifeng School of Computer Science and Technology of Soochow University Key Lab of Computer Information Processing Technology of Jiangsu Province

In general,Chinese event factuality is determined by the specific vocabularies and syntactic structures of *** Chinese event factuality corpus is to annotate these specific vocabularies and syntactic *** these information is raw and complex,it will result in high computation complexity and low correct rate if we use these information to compute factuality *** paper proposes a 3D representation of Chinese event factuality based on the annotated factual information in a Chinese event factuality *** also presents the transformation rules between the factual information and 3D representation and those between the 3D representation and event *** experimental results demonstrate the effectiveness of our 3D representation.

关键词： Representation of Chinese Event Factuality

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Tumor gene expressive data classification based on locally linear representation Fisher criterion

Tumor gene expressive data classification based on locally l...

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9th International Conference on Intelligent Computing, ICIC 2013

作者： Li, Bo Tian, Bei-Bei Liu, Jin School of Computer Science and Technology Wuhan University of Science and Technology 430081 Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China State Key Lab. of Software Engineering Wuhan China

ISBN: (纸本)9783642394812

In this paper, a discriminant manifold learning method based on Locally Linear Embedding (LLE), which is named Locally Linear Representation Fisher Criterion (LLRFC), is proposed for the classification of tumor gene expressive data. In the proposed LLRFC, an inter-class graph and intra-class graph is constructed based on the class information of tumor gene expressive data, where the weights between nodes in both graph are optimized using locally linear representation trick. Moreover, a Fisher criterion is modeled to maximize the inter-class scatter and minimize the intra-class scatter simultaneously. Experiments on some benchmark tumor gene expressive data validate its efficiency. © 2013 Springer-Verlag.

关键词： Genes

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Remote Authentication Scheme for Multi-Server Environment Based on Biometrics with Access Control 9

Remote Authentication Scheme for Multi-Server Environment Ba...

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2017 9th IEEE International Conference on Communication Software and Networks (ICCSN 2017)

作者： Min Zhang Wen-rong Tan School of Foreign Languages Southwest Minzu University Sichuan Province Key Lab of Signal and Information Processing Southwest Jiao Tong University School of Computer Science and Technology Southwest Minzu University

ISBN: (纸本)9781509038237;9781509038220

Compared with single-server authentication scheme, the authentication scheme for multi-server environment has a lot of advantages. Such as users needn’t to remember various passwords or register for every application server. In 2016, Irshad et al. proposed a three-factor scheme based on chaotic map for multi-server environment. Irshad’s scheme has high efficiency and strong robustness. However, after careful analysis, this paper shows that Irshad’s scheme still has many disadvantages. In order to solve these problems, a new three-factor authentication scheme based on secure sketch and Chebyshev chaotic map has been proposed in this paper. From the analysis, we can see that the proposed scheme has higher security level and deals with biometric more appropriately in spite of slight higher computation cost than Irshad’s scheme. What’s more, an access control method has been introduced for the purpose of making different users enjoy different access privileges with regard to the data. At the same time, the proposed scheme can achieve key agreement.

关键词： multi-server authentication secure sketch access control biometrics

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MMLUP: Multi-Source & Multi-Task Learning for User Profiles in Social Network

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computers, Materials & Continua 2019年第9期61卷 1105-1115页

作者： Dongjie Zhu Yuhua Wang Chuiju You Jinming Qiu Ning Cao Chenjing Gong Guohua Yang Helen Min Zhou School of Computer Science and Technology Harbin Institute of TechnologyWeihai264209China College of Information Engineering Sanming University365004SanmingChina Fujian Province University Key Lab for Industry Big Data Analysis and Application FujianChina College of Information Engineering Qingdao Binhai UniversityQingdaoChina Jiangsu Province Wireless Sensing System Application Engneering Technology Research and Development Centre China School of Engineering Manukau Institute of TechnologyAuckland2241New Zealand

With the rapid development of the mobile Internet,users generate massive data in different forms in social network every day,and different characteristics of users are reflected by these social media *** to integrate multiple heterogeneous information and establish user profiles from multiple perspectives plays an important role in providing personalized services,marketing,and recommendation *** this paper,we propose Multi-source&Multi-task Learning for User Profiles in Social Network which integrates multiple social data sources and contains a multi-task learning framework to simultaneously predict various attributes of a ***,we design their own feature extraction models for multiple heterogeneous data ***,we design a shared layer to fuse multiple heterogeneous data sources as general shared representation for multi-task ***,we design each task’s own unique presentation layer for discriminant output of ***,we design a weighted loss function to improve the learning efficiency and prediction accuracy of each *** experimental results on more than 5000 Sina Weibo users demonstrate that our approach outperforms state-of-the-art baselines for inferring gender,age and region of social media users.

关键词： User profiles multi-source multi-task learning social network

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Neural conjuncted polynomial's structure adaptive equalizer

Neural conjuncted polynomial's structure adaptive equalizer

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ICCCAS 2007 - International Conference on Communications, Circuits and Systems 2007

作者： Haiquan, Zhao Jiashu, Zhang Si-Chuan Province Key Lab. of Signal and Information Processing Southwest Jiaotong University Chengdu 610031 China Dept. of Electronic Eng. Chengdu University of Information Technology Chengdu 610225 China

ISBN: (纸本)9781424414741

Based on the analysis of linear conjuncted polynomial filter and the characteristic of single layer neural network with mild nonlinear and severe nonlinear distortions, novel conjunction's structure equalizer is proposed in this paper, and adaptive algorithm is deduced by the normalized least mean squares (NLMS). computer simulations show that not only the novel type structure equalizer is simpler in structure and but also can availab.y remove nonlinear distortions and intersymbol interference (ISI), improve performance of bit error rates (BER) no matter what linear channel or nonlinear channel in digital communication systems.

关键词： Polynomials

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A novel adaptive equalizer with DCT domain second-order volterra series for nonlinear channel

A novel adaptive equalizer with DCT domain second-order volt...

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2nd International Conference on Innovative Computing, information and Control, ICICIC 2007

作者： Zhao, Haiquan Zhang, Jiashu Si-Chuan Province Key Lab. of Signal and Information Processing Southwest Jiaotong University Chengdu 610031 China Dept. of Electronic Eng. Chengdu University of Information Technology Chengdu 610225 China

ISBN: (纸本)0769528821

Based on analysis of second-order Volterra series nonlinear filter, making use of continuous signal's DCT domain second-order polynomial nonlinear filter for communication nonlinear channels, a new structure nolinear adaptive equalizer with DCT domain second-order Volterra series is proposed, and adaptive algorithm is deduced with the normalized least mean squares (NLMS). computer simulations show that no matter what linear channel or nonlinear channel the novel structure nonlinear equalizer can availab.y cancel nonlinear distortions and intersymbol interference (ISI), moreover bit error rates (BER) performance also gets obviously improvement, especially reduces the number of weight coefficients. © 2007 IEEE.

关键词： Equalizers

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A probability-based object tracking method

A probability-based object tracking method

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4th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2013

作者： Song, Xu Li, Guoqiang Li, Ying Zhang, Yanning Shaanxi Province Key Lab. of Speech and Image Information Processing Northwestern Polytechnical University Xi'an 710129 China Science and Technology on Electro-optic Control Laboratory Louyang 471009 China

ISBN: (纸本)9783642420566

Here we take advantage of the signal recovery power of Compressive Sensing (CS) to significantly reduce the computational complexity brought by the high-dimension image data, then an effective and efficient low-dimensional subspace representation of the object is computing by applying Principal Component Analysis (PCA) to a collection of object observations which are low-dimensional vectors derived from CS. An incremental PCA algorithm is used to update this subspace model for characterizing the object appearance changes. Meanwhile, two distances derived from Probabilistic Principal Component Analysis (PPCA): distance from feature space (DFFS) and distance in feature space (DIFS), are used to describe visual similarity between the learned subspace representation model and candidate targets. Comparing with the traditional used reconstruction error, the sum of two distances: DFFS + DIFS, is more accurate and more robust to noises and partial occlusions. Numerous experiment demonstrate that subspace representation model can handle the situation that target objects experience pose changes, scale changes, significant illumination variation, partial occlusions and so on. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Compressed sensing

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Vertex-disjoint paths in the generalized hypercube under 1-restricted connectivity 21

Vertex-disjoint paths in the generalized hypercube under 1-r...

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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Wang, Guijuan Lin, Cheng-Kuan Fan, Jianxi Cheng, Baolei Liu, Zhao School of Computer Science and Technology Soochow University Suzhou215006 China College of Mathematics and Computer Science Fuzhou University Fuzhou350108 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Jiangsu Province Nanjing210003 China Provincial Key Laboratory for Computer Information Processing Technology Soochow University Suzhou215006 China

ISBN: (纸本)9781728120584

The generalized hypercube is an excellent interconnection network since it includes many interconnection topologies and it can be used to construct many data center networks. Considering the probability that, in general, all neighbors of one vertex becoming faulty at the same time is extremely low, we assume that each vertex has at least one fault-free neighbor. An r-dimensional generalized hypercube is denoted by G(m-r, m-r-1,⋅, m-1). In this paper, we proposed an efficient algorithm which can construct at least κ^1(G) disjoint paths based on any two adjacent vertices in G(m-r, m-r-1, m-1) in O(rm) time where κ^1(G) is the 1-restricted connectivity of G(m-r, m-r-1, m-1). The maximum length of these disjoint paths is bounded by 7. © 2019 IEEE.

关键词： Fault tolerance

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