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Nuclear norm regularized coding with local position-patch and nonlocal similarity for face hallucination

Digital Signal processing 2017年 64卷 107-120页

作者： Guangwei Gao Jian Yang Zhihui Lai Pu Huang Jielin Jiang Hao Gao Dong Yue Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing 210023 PR China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou 350121 PR China School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing 210094 PR China College of Computer Science and Software Engineering Shenzhen University Shenzhen 518060 PR China Key Laboratory of Image and Video Understanding for Social Safety Nanjing University of Science and Technology Nanjing 210094 PR China School of Computer and Software Nanjing University of Information Science and Technology Nanjing 210044 PR China

Learning-based face hallucination methods have received much attention and progress in past few decades. Specially, position-patch based approaches have been proposed to replace the probabilistic graph-based or manifold learning-based ones. As opposed to the existing patch based methods, where the input image patch matrix is converted into vectors before combination coefficients calculation, in this paper, we propose to directly use the image matrix based regression model for combination coefficients computation to preserve the essential structural information of the input patch matrix. For each input low-resolution (LR) patch matrix, its combination coefficients over the training image patch matrices at the same position can be computed. Then the corresponding high-resolution (HR) patch matrix can be obtained with the LR training patches replaced by the corresponding HR ones. The nonlocal self-similarities are finally utilized to further improve the hallucination performance. Various experimental results on standard face databases indicate that our proposed method outperforms some state-of-the-art algorithms in terms of both visual quantity and objective metrics.

关键词： Face hallucination Position-patch Matrix based regression Nuclear norm Nonlocal similarity

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Constructing multi-modality and multi-classifier radiomics predictive models through reliable classifier fusion

arXiv

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arXiv 2017年

作者： Zhou, Zhiguo Zhou, Zhi-Jie Hao, Hongxia Li, Shulong Chen, Xi Zhang, You Folkert, Michael Wang, Jing Department of Radiation Oncology UT Southwestern Medical Center DallasTX United States High-Tech Institute of Xi'an Xi'an China Department of Information and Control Engineering Xi'an University of Technology Xi'an China School of Computer Science and Technology Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education Xidian University Xi'an China School of Biomedical Engineering Southern Medical Unversity Guangzhou China Institute of Image Processing and Pattern Recognition Xi'an Jiaotong Unversity Xi'an China

Radiomics aims to extract and analyze large numbers of quantitative features from medical images and is highly promising in staging, diagnosing, and predicting outcomes of cancer treatments. Nevertheless, several challenges need to be addressed to construct an optimal radiomics predictive model. First, the predictive performance of the model may be reduced when features extracted from an individual imaging modality (e.g. PET, CT, MRI) are blindly combined into a single predictive model. Second, because many different types of classifiers are available to construct a predictive model, selecting an "optimal" classifier for a particular application is still challenging. In this work, we developed multi-modality and multi-classifier radiomics predictive models that address the aforementioned issues in currently available models. Specifically, a new reliable classifier fusion strategy was proposed to optimally combine output from different modalities and classifiers. In this strategy, modality-specific classifiers were first trained, and an analytic evidential reasoning (ER) rule was developed to fuse the output score from each modality to construct an optimal predictive model. One public datasets and two clinical case studies were performed to validate model performance. The experimental results indicated that the proposed ER rule based radiomics models outperformed the traditional models that rely on a single classifier or simply use combined features from different modalities. Copyright © 2017, The Authors. All rights reserved.

关键词： Diagnosis

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Assignment-Driven Multi-consensus in Second-order Multi-agent Systems via Impulsive control with Heterogeneous delays

Assignment-Driven Multi-consensus in Second-order Multi-agen...

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IEEE International Conference on control and Automation

作者： Yao-Wen Wei Jing-Wen Yi Yan-Wu Wang Jiang-Wen Xiao School of Automation Huazhong University of Science and Technology Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education

ISBN: (纸本)9781509017393

An assignment-driven multi-consensus problem of multi-agent systems with heterogeneous delays is investigated in this paper. By introducing a concept of intelligent adjustment factor, a distributed impulsive protocol is designed, in which only the delayed sampled relative positions to neighbors and the relative position to the last sampling state are utilized. Combined with the characteristic of impulsive control, three steps of model transformation are performed, and the assignment-driven multi-consensus problem of the original continuous-time system is converted to the stability problem of a discrete-time expanded analogous error system. A necessary and sufficient criterion is derived to guarantee the assignment-driven multi-consensus of the multi-agent system. An interesting simulation is proposed to demonstrate the effectiveness of the theoretical result and reveal the effect of intelligent adjustment factors on the assignment-driven multi-consensus.

关键词： Protocols Delays Multi-agent systems Network topology Automation Stability criteria

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Application of discrete ant colony optimization in VRPTW 11th

Application of discrete ant colony optimization in VRPTW

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Fu, Qinhong Zhou, Kang Qi, Huaqing Wu, Tingfang School of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036132

The classical ant colony algorithm for vehicle routing problem with time windows (VRPTW) has problems of low efficiency, slow convergence and prematurity. And the discrete ant colony optimization (DACO) is proposed for these problem. It adopts the one-dimensional discrete coding that can make the data structure simpler and bring in faster convergence speed. In addition, self-convergence mode is used to calculate the optimal vehicle number rather than setting the optimal vehicle number at the beginning, which makes the algorithm more flexible and accelerates the convergence speed effectively. The time window and vehicle load are not considered in the optimization process, when ants complete the whole process and then the path is explained, this move not only expands the ant search scope but also improves the efficiency of the algorithm. The above highlights make the most of the selfadaptation and self-regulating mechanism, which effectively reduces the probability of the local optimal solution at the same time. Experimental results for Solomon benchmark test problems indicate that DACO outperforms both in reducing time and space complexity in the premise of not affecting the accuracy. Thus proves DACO is effective and feasible in solving the VRPTW. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Ant colony optimization

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Two-dimensional picture arrays and Parikh q—matrices

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Journal of Physics: Conference Series 2018年第1期1132卷

作者： Somnath Bera Kalpana Mahalingam Linqiang Pan K. G. Subramanian Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China School of Automation Huazhong University of Science and Technology Wuhan 430074 Hubei China Department of Mathematics Indian Institute of Technology Madras Chennai 600036 India School of Electric and Information Engineering Zhengzhou University of Light Industry Zhengzhou 450002 Henan China Department of Mathematics Madras Christian college Tambaram Chennai 600017 India

Based on the idea of 'q—count' of certain subwords of a word and generalizing the notion of Parikh matrix of a word, the notion of Parikh q—matrix of a word over an ordered alphabet was introduced. On the other hand, with a two-dimensional picture array of symbols arranged in rows and columns, two kinds of upper triangular matrices, known as row and column Parikh matrices have also been introduced and investigated. Here combining these two kinds of matrices of a picture array, we introduce row/column Parikh q—matrix of an array, leading to the concept of q—ambiguity of a picture array. Results relating to q—ambiguity of picture arrays are derived in the context of these Parikh q—matrices of arrays.

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Improved multi-step iterative algorithms for the fixed points of strongly pseudo-contractive mappings 11th

Improved multi-step iterative algorithms for the fixed point...

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Liu, Jiangrong Zhou, Kang Zeng, Shan Qi, Huaqing Song, Bosheng Wu, Tingfang Department of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036132

In Banach Spaces, we introduce a new improved multi-step iterative algorithm for the fixed points of strongly pseudo-contractive mappings, by proving the convergence for modified Mann iterative sequence, and that the multi-step iterative sequence and Mann iterative scheme are equivalent. We prove the convergence of iterative sequences generalized by the improved multi-step iterative algorithms. The results extend and improve the corresponding related results. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Banach spaces

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An image threshold segmentation algorithm with hybrid evolutionary mechanisms based on membrane computing 11th

An image threshold segmentation algorithm with hybrid evolut...

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11th International Conference on Bio-inspired Computing – Theories and Applications, BIC-TA 2016

作者： Liu, Shuo Zhou, Kang Zeng, Shan Qi, Huaqing Wu, Tingfang Department of Math and Computer Wuhan Polytechnic University WuhanHubei430023 China Department of Economics and Management Wuhan Polytechnic University WuhanHubei430023 China Key Laboratory of Image Information Processing and Intelligent Control School of Automation Huazhong University of Science and Technology WuhanHubei430074 China

ISBN: (纸本)9789811036101

Focused on the contradiction between selective pressure and population diversity in the optimization algorithm using hybrid evolutionary mechanisms, this paper proposes a membrane image threshold segmentation algorithm based on the idea of membrane computing. The proposal uses a hybrid tissue P system of three one-level-membranestructure (OLMS) membranes in which genetic algorithm (GA) and particle swarm optimal algorithm (PSO) are used as evolution operator. The proposed algorithm uses the communication rules and transfer rules to establish the interactions among the membranes, and then enhances the diversity of population in the system and improves the convergence of the algorithm. After comparing with the conventional methods, simulation results and dynamic behavior analysis show that the proposal evidently improve the validity and feasibility of the image segmentation algorithm. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Genetic algorithms

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Cyber-physical System Security for Networked Industrial Processes

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International Journal of Automation and computing 2015年第6期12卷 567-578页

作者： Shuang Huang Chun-Jie Zhou Shuang-Hua Yang Yuan-Qing Qin School of Automation Huazhong University of Science and Technology Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Department of Computer Science Loughborough University

Cyber-physical systems(CPSs) are integrations of networks, computation and physical processes, where embedded computing devices continually sense, monitor, and control the physical processes through networks. Networked industrial processes combining internet, real-time computer control systems and industrial processes together are typical CPSs. With the increasingly frequent cyber-attack, security issues have gradually become key problems for CPSs. In this paper, a cyber-physical system security protection approach for networked industrial processes, i.e., industrial CPSs, is proposed. In this approach, attacks are handled layer by layer from general information technology(IT) security protection, to active protection, then to intrusion tolerance and physical security protection. The intrusion tolerance implemented in real-time control systems is the most critical layer because the real time control system directly affects the physical layer. This novel intrusion tolerance scheme with a closed loop defense framework takes into account the special requirements of industrial CPSs. To illustrate the effectiveness of the CPS security protection approach, a networked water level control system is described as a case study in the architecture analysis and design language(AADL) environment. Simulation results show that 3 types of injected attacks can be quickly defended by using the proposed protection approach.

关键词： Critical infrastructures cyber-physical systems(CP

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Consensus control for Second-Order Multi-Agent with Time-Delay on Antagonistic Networks

Consensus Control for Second-Order Multi-Agent with Time-Del...

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第35届中国控制会议

作者： Penglin LI Yue LIU Yadong ZHAO Jie YANG Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University State Key Laboratory of Industrial Control Technology Institute of Industrial Process ControlCollege of Control Science and EngineeringZhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781509009107

In this paper,we discuss consensus problems for antagonistic networks with double integrator *** cases are analyzed:(1) undirected graphs with fixed topology on antagonistic networks;(2) undirected graphs with fixed topology and time-delay on antagonistic *** both cases,distributed consensus protocols are proposed,with sufficient and necessary conditions *** is proved that the largest tolerable time-delay is only related to the largest eigenvalue of the graph ***,simulations are provided to demonstrate the obtained theoretical results.

关键词： Consensus Fixed Topology Multi-agent Antagonistic Networks Time-delay

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Hybrid variable neighbourhood search for multi-objective bus driver rostering

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Journal of Computational and Theoretical Nanoscience 2016年第6期13卷 3989-3996页

作者： Peng, Kunkun Shen, Yindong School of Automation Huazhong University of Science and Technology Wuhan430074 China Key Laboratory of Image Processing and Intelligent Control Huazhong University of Science and Technology Ministry of Education Wuhan430074 China

Bus driver rostering is a world-wide problem, which is NP-hard. Two objectives exist in the problem: (1) minimizing the number of drivers;(2) minimizing excess workload of each driver and balancing excess workload among the drivers. To solve the problem, a Hybrid Variable Neighbourhood Search (HVNS) approach is developed, in which two compound neighbourhood structures are devised, each corresponds to an objective and the two neighbourhood structures are employed in turn. Simulated Annealing (SA) is integrated into the HVNS to serve as a solver for neighbourhood search. In the SA, the traditional acceptance criterion is enhanced by accepting 'deteriorated' solutions with control and probability without losing the randomness;moreover, two evaluation functions are built to handle user preferences. Experiments show that the proposed HVNS can produce good results. Copyright © 2016 American Scientific Publishers. All rights reserved.

关键词： Multiobjective optimization

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