Abstract:Correlation filter (CF) based trackers have become quite popular in video tracking because of their impressive performance and high frame rates. A large amount of recent research focuses on the improvement of training model of correlation filter to get a tracker with better discriminative power. However, this only helps the tracker to discriminate the target object from background within a small neighborhood, which is not suitable for fast motion scenes. In this paper, we propose a new detection model to dig out the potential of the correlation filter to deal with the challenge of fast motion. The model performs detection operations on multiple small search areas within a large one. Thus, our tracker can accurately localize the target object in a larger search area. In addition, we also added space constraints to boost the tracking performance of the model. The extensive experimental results demonstrate that the proposed tracker outperforms several state-of-the-art trackers on the challenging benchmark dataset with 51 sequences.

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	1. Kernel Correlation Filter Tracking based on Spatial Constraint
	LI Zhi-Yong,Chen Li
	Information Science and System Science 25 April 2018
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	Abstract:Correlation filter (CF) based trackers have become quite popular in video tracking because of their impressive performance and high frame rates. A large amount of recent research focuses on the improvement of training model of correlation filter to get a tracker with better discriminative power. However, this only helps the tracker to discriminate the target object from background within a small neighborhood, which is not suitable for fast motion scenes. In this paper, we propose a new detection model to dig out the potential of the correlation filter to deal with the challenge of fast motion. The model performs detection operations on multiple small search areas within a large one. Thus, our tracker can accurately localize the target object in a larger search area. In addition, we also added space constraints to boost the tracking performance of the model. The extensive experimental results demonstrate that the proposed tracker outperforms several state-of-the-art trackers on the challenging benchmark dataset with 51 sequences.
	TO cite this article:LI Zhi-Yong,Chen Li. Kernel Correlation Filter Tracking based on Spatial Constraint[OL].[25 April 2018] http://en.paper.edu.cn/en_releasepaper/content/4744779


	2. A Satellite Network Prediction Method Based on nonlinear Optimized SVM
	Zhu Runtao,Li Ning
	Information Science and System Science 02 December 2016
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	Abstract:According to the limited processing ability of satellite, a network traffic prediction model based on wavelet transformation and nonlinear optimization SVM is proposed. First wavelet transform was carried out on the network traffic to get scale coefficients and the wavelet coefficients. Then Using nonlinear quantum particle swarm optimization algorithm to optimize the SVM. Through the SVM regression model, the wavelet component regression analysis is done. Finally do wavelet reconstruction and obtain prediction results. The experimental results show that the improved prediction algorithm has better generalization ability and is suitable for short-term prediction. Its prediction accuracy is much better than traditional forecasting methods.
	TO cite this article:Zhu Runtao,Li Ning. A Satellite Network Prediction Method Based on nonlinear Optimized SVM[OL].[ 2 December 2016] http://en.paper.edu.cn/en_releasepaper/content/4712110

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	3. Barrier Lyapunov Function-based control for strict-feedback systems withfull state constraints
	WANG Chunxiao,WU Yuqiang
	Information Science and System Science 02 July 2016
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	Abstract:This paper studies an adaptive control design for a class of strict-feedback nonlinear systems with asymmetric time-varying full state constraints. A time-varying asymmetric Barrier Lyapunov Function (ABLF) is employed to ensure time-varying constraints satisfaction. By allowing the barriers to vary with the desired trajectory in time, the initial condition requirements are relaxed. Thus the ABLF can afford greater flexibility in control design. The high order coupling terms caused by backstepping method are canceled through variable substitution. Asymptotic tracking is achieved without violation of any constraints, and all signals in the closed-loop system are ultimately bounded. The performance of the ABLF-based control is illustrated through a numerical example.
	TO cite this article:WANG Chunxiao,WU Yuqiang. Barrier Lyapunov Function-based control for strict-feedback systems withfull state constraints[OL].[ 2 July 2016] http://en.paper.edu.cn/en_releasepaper/content/4699692


	4. Coordination-based Uplink Transmission for LTE-A System
	Xie Yanan,Quan Wei,Miao Jinhua,Zhang Jian,Chang Yongyu
	Information Science and System Science 28 September 2015
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	Abstract:The conventional uplink transmission method suffers from high latency which is not enough to guarantee the requirement of latency sensitive applications, such as Voice over Internet Protocol (VoIP) and real time gaming. In order to decrease the delay, in the Long Term Evolution Advanced (LTE-A) system, contention-based (CB) uplink transmission solution is proposed. This method allocates a contention-based Grant (CB Grant) to a group of uplink synchronized users (i.e., a CB user group). However, collision probability increases with the load due to the same uplink resources shared by several users. In this paper, we proposed a coordination-based uplink transmission method to avoid collisions. The eNB configures the coordination resource to a group of users which can listen to each other by using Device-to-Device (D2D) communication, and one shared Physical Uplink Shared Channel (PUSCH) resources. When a user equipment (UE) has data to transmit, it will send a request and listen on the coordination resource, then UE sending on the coordination resource with the highest priority can transmit uplink data on the shared PUSCH resource. The simulation results demonstrate that our proposed method can improve resource utilization and reduce latency.
	TO cite this article:Xie Yanan,Quan Wei,Miao Jinhua, et al. Coordination-based Uplink Transmission for LTE-A System[OL].[28 September 2015] http://en.paper.edu.cn/en_releasepaper/content/4656222


	5. On Combining Trilinear Decomposition and ICA
	GONG Xiaofeng,HAO Yana,LIN Qiuhua,LIU Zhiwen,XU Yougen
	Information Science and System Science 16 June 2013
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	Abstract:We present a new canonical polyadic decomposition (CPD) algorithm to exploit both source statistical independence and trilinear structure of a three-way tensor based on independent component analysis (ICA) and joint diagonalization (JD). More exactly, ICA is first performed on the matricized tensor to exploit the statistical independence in one mode, JD is then carried out upon the initial ICA results to restore the trilinear structure of the original tensor, and rank-1 approximation is finally used to extract the parallel factors. The proposed algorithm is able to overcome the converging difficulties of standard CPD in the presence of collinearities. Moreover, it is able to exploit the trilinearity of the target tensor more thoroughly than existing methods that combine CPD and ICA, and thus is less sensitive to the incorporated ICA stage than these methods. Simulations are provided to compare the proposed algorithm with both standard CPD algorithms and algorithms that combine CPD and ICA.
	TO cite this article:GONG Xiaofeng,HAO Yana,LIN Qiuhua, et al. On Combining Trilinear Decomposition and ICA[OL].[16 June 2013] http://en.paper.edu.cn/en_releasepaper/content/4548303


	6. Partial synchronization of the distributed parameter system with time delay via fuzzy control
	YUAN Kun,FEI Shumin,CAO Jinde
	Information Science and System Science 27 December 2012
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	Abstract:In this paper, partial synchronization of thedistributed parameter system (DPS) with time delay is considered via the Galerkin's method and the fuzzy control. First, based on the Galerkin's method, the dynamics of master DPs and slave DPS can be described by low-order ordinary differential equations (ODE), respectively. Then the low-order functional ODEs is used as the basis for the design of the fuzzy controller to ensure the synchronization between the two low-order ODEs, moreover, when the slow system of masterDPS and the slow system of slave DPS is synchronized, the errorbetween master DPS and slave DPS is bounded. Some criteria are derived for stabilization and linear matrix inequality (LMI) design approach is developed. The effectiveness of the proposed controller design methodology is finally demonstrated through numerical simulation .
	TO cite this article:YUAN Kun,FEI Shumin,CAO Jinde. Partial synchronization of the distributed parameter system with time delay via fuzzy control[OL].[27 December 2012] http://en.paper.edu.cn/en_releasepaper/content/4505494


	7. Research and Analysis of Method of Ranking Micro-blog Search Results Based on Binary Logistic Model
	Zhang Jing,Hou Wenjun
	Information Science and System Science 21 September 2012
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	Abstract:Ranking results in micro-blog search as user's interests is challenging because of the special form of micro-blog search results. To attempt to solve the problem, in this paper, we summarize the characteristics of micro-blog search results, propose a method using a sort of decision model- binary logistic model, test the confidence level of the model and estimate the weight of the variable in the model collecting the real samples. The result shows the relation between user's decision and the factors from each individual micro-blog search result as well as the feasibility of ranking using the model. We also analyze the model.
	TO cite this article:Zhang Jing,Hou Wenjun. Research and Analysis of Method of Ranking Micro-blog Search Results Based on Binary Logistic Model[OL].[21 September 2012] http://en.paper.edu.cn/en_releasepaper/content/4489919


	8. Robust Regional Bounding Sphere Representation for 3D Face Recognition
	MING Yue,RUAN Qiuqi
	Information Science and System Science 12 March 2012
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	Abstract:A robust regional bounding sphere representation (RRBSR) is introduced to facilitate 3D face recognition. In our framework, we first segment a group of regions on each 3D facial point cloud by curvature information and facial shape characteristics. Then, the extracted regions are projected on the bounding spherical bands in order to reflect the distinctive shape information of facial different regions. Next, an orthogonal regional and global regression (ORGR) is utilized to extract the discriminant feature vectors. Experimental results based on the different 3D face databases demonstrate that balancing regional and global facial characteristics allow for the high-qualified performance. Compared with the previous popular approaches, our framework has a consistently better performance in terms of effectiveness, robustness, and universality.
	TO cite this article:MING Yue,RUAN Qiuqi. Robust Regional Bounding Sphere Representation for 3D Face Recognition[OL].[12 March 2012] http://en.paper.edu.cn/en_releasepaper/content/4469491


	9. Missing Value Imputation in Gene Expression Data Using Histone Acetylation Information
	XIANG Qian
	Information Science and System Science 16 December 2010
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	Abstract:Accurate estimation of missing values in microarray data is important for the expression profile analysis. In this paper, missing value imputation is done with the aid of gene regulatory mechanism. It incorporates histone acetylation into the conventional k-nearest neighbor and local least square imputation algorithms for final prediction. The comparison results indicated that the proposed method consistently improves the widely used methods and outperforms GOimpute in terms of normalized root mean squared error(NRMSE), which is one of the existing related methods that use the functional similarity as the external information. The results demonstrated histone acetylation information may be more highly correlated with the gene expression than that of functional similarity.
	TO cite this article:XIANG Qian. Missing Value Imputation in Gene Expression Data Using Histone Acetylation Information[OL].[16 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4398573


	10. Quantitative Modeling Effects of Nucleosome on Transcription Factor-DNA Interactions
	XIANG Qian
	Information Science and System Science 16 December 2010
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	Abstract:Transcription factor-DNA interactions play a central role in transcriptional control. These bindings are stochastic processes and regulated by the nucleosomes in vivo. However, current models tend to neglect the nucleosomes and regard the binding as a set of binary cases. A computational model is presented here to address the issues. It integrates TF bindings to nucleosomal and naked DNA in a quantitative manner and results in continuous binding probabilities along the genome. The predictive ability of the model was applied to rationalize the binding data for the TFs considered, which made improvements over those models disregarding the nucleosomes.
	TO cite this article:XIANG Qian. Quantitative Modeling Effects of Nucleosome on Transcription Factor-DNA Interactions[OL].[16 December 2010] http://en.paper.edu.cn/en_releasepaper/content/4398561

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