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Self-explanatory Convex Sparse Representation for Image Classification

Self-explanatory Convex Sparse Representation for Image Clas...

引用

IEEE International Conference on Systems, Man, and Cybernetics

作者： Bao-Di Liu Yu-Xiong Wang Bin Shen Yu-Jin Zhang Yan-Jiang Wang Wei-Feng Liu College of Information and Control Engineering China University of Petroleum Qingdao 266580 China School of Computer Science Carnegie Mellon University Pittsburgh PA 15213 USA Dept. of Computer Science Purdue University West Lafayette IN 47907 USA Dept. of Electronic Engineering Tsinghua University Beijing 100084 China

ISBN: (纸本)9781479906505

Sparse representation technique has been widely used in various areas of computer vision over the last decades. Unfortunately, in the current formulations, there are no explicit relationship between the learned dictionary and the original data. By tracing back and connecting sparse representation with the K-means algorithm, a novel variation scheme termed as self-explanatory convex sparse representation (SCSR) has been proposed in this paper. To be specific, the basis vectors of the dictionary are refined as convex combination of the data points. The atoms now would capture a notion of centroids similar to Kmeans, leading to enhanced interpretability. Sparse representation and K-means are thus unified under the same framework in this sense. Besides, an appealing property also emerges that the weight and code matrices both tend to be naturally sparse without additional constraints. Compared with the standard formulations, SCSR is easier to be extended into the kernel space. To solve the corresponding sparse coding subproblem and dictionary learning subproblem, block-wise coordinate descent and Lagrange multipliers are proposed accordingly. To validate the proposed algorithm, it is implemented in image classification, a successful applications of sparse representation. Experimental results on several benchmark data sets, such as UIUC-Sports, Scene 15, and Caltech-256 demonstrate the effectiveness of our proposed algorithm.

关键词： Convex hull Sparse representation Coordinate descent Image classification Image classification sparse representation convex hull images computer vision Dictionaries as Topic Convexity

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3D imaging and visualization: An overview of recent advances

3D imaging and visualization: An overview of recent advances

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2013 12th Workshop on Information Optics, WIO 2013

作者： Javidi, Bahram Cho, Myungiin Moon, Inkyu Anand, Arun Martinez-Corral, Manuel Stern, Adrian Mahalanobis, Abhijit Zalevsky, Zeev University of Connecticut Electrical and Computer Engineering Dept. 371 Fairfield Road Unit 4157 Storrs CT 06269-4157 United States Department of Electric Electronic and Control Engineering Hankyong National University Kyonggi-do 456-749 Korea Republic of School of Computer Engineering Chosun University 375 Seosuk-dong Dong-gu Gwangju 501-759 Korea Republic of Applied Physics Dept Faculty of Technology and Engineering MS University of Baroda Vadodara 39001 India Department of Optics University of Valencia c/ Dr. Moliner 50 E-46100 Burjassot Spain Department of Electro-Optics Engineering Ben-Gurion University of the Negev Beer-Sheva 84105 Israel Lockheed Martin Missiles and Fire Control Orlando FL 32819 United States Faculty of Engineering Bar-Ilan University Ramat-Gan 52900 Israel

ISBN: (纸本)9781479907687

This paper presents an overview of our published work on physical principles, applications, and advances in integral imaging and digital holography. Various approaches for image capture, image reconstruction, and 3D display methods are overviewed. Applications including 3D underwater imaging, 3D imaging in photon-starved environments, 3D tracking of occluded objects, 3D optical microscopy, and 3D polarimetric imaging are reviewed. © 2013 IEEE.

关键词： Three dimensional displays

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Some Controversial Opinions on Software-Defined Data Plane Services

Some Controversial Opinions on Software-Defined Data Plane S...

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IEEE SDN for Future Networks and Services (SDN4FNS)

作者： Fulvio Risso Antonio Manzalini Mario Nemirovsky Dept. of Control and Computer Engineering Politecnico di Torino Torino Italy Telecom Italia Strategy Future Centre Torino Italy Barcelona Supercomputing Center Barcelona Spain

Several recent proposals, namely Software Defined Networks (SDN), Network Functions Virtualization (NFV) and Network Service Chaining (NSC), aim to transform the network into a programmable platform, focusing respectively on the control plane (SDN) and on the data plane (NFV/NSC). This paper sits on the same line of the NFV/NSC proposals but with a more long-term horizon, and it presents its considerations on some controversial aspects that arise when considering the programmability of the data plane. Particularly, this paper discusses the relevance of data plane vs control plane services, the importance of the hardware platform, and the necessity to standardize northbound and southbound interfaces in future software-defined data plane services.

关键词： Hardware Software Standards Virtualization Data models Telecommunications

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Direct Localization of Multiple Sources in Sensor Array Networks: A Joint Sparse Representation of Array Covariance Matrices Approach

Direct Localization of Multiple Sources in Sensor Array Netw...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Ji-An Luo Zhi Wang Yu-Hen Hu Hangzhou Dianzi University Institute of Information and Control China Zhejiang University The State Key Laboratory of Industrial Control Technology China Dept. Electrical and Computer Engineering University of Wisconsin-Madison WI U. S. A

A novel sparse representation based multi-source localization method is presented in this work. We envision a wireless network infrastructure containing multiple phase arrays of acoustic sensors. With multiple arrays, direct estimation of a set of source locations is achieved using a new joint sparse representation of array covariance matrices (JSRACM). This representation transforms the source location estimation problem into a spatial sparse signal representation (SSSR) optimization problem. To mitigate the high computation complexity of JSRACM, a novel binary sparse indicative vector (SIV) is introduced to represent the support of joint SSSR of array covariance matrices. As such, the multiple source locations may be estimated by solving an unconstrained optimization problem of the SIV vector using existing FOCUSS-like algorithms. The resulting SIVR-JSRACM algorithm does not require prior information of the number of sources nor initial source location estimates. It promises super-resolution, robustness to noise, and low computing complexity which is independent of the number of sensor phase arrays. Simulation results demonstrate superior performance of the proposed algorithm.

关键词： Arrays Vectors Covariance matrices Noise Signal processing algorithms Joints Dictionaries

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Research on electromagnetic susceptibility of fiber optical gyroscope

Research on electromagnetic susceptibility of fiber optical ...

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2012 International Symposium on Photonics and Optoelectronics, SOPO 2012

作者： Liu, Jieyu Xu, Junhui Ma, Xuewen Dept. of Automatic Control Second Artillery Engineering University Xi'an China

ISBN: (纸本)9781457709111

As an new optical instrument, Fiber Optical Gyroscope (FOG) is used in guidance and navigation system more and more. But the problem is that it can be disturbed by electromagnetic environment easily. According to apply electromagnetic interference signal with different strength and frequency, an electromagnetic environment simulation system is presented to study its electromagnetic susceptibility based on the test data by model building analysis method and variance analysis method. © 2012 IEEE.

关键词： Electromagnetic pulse

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Advanced Methods for Time-Varying Effective Connectivity Estimation in Memory Processes

Advanced Methods for Time-Varying Effective Connectivity Est...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： L. Astolfi J. Toppi G. Wood S. Kober M. Risetti L. Macchiusi S. Salinari F. Babiloni D. Mattia Department of Computer Control and Management Engineering Univ. of Rome "Sapienza" Department of Psychology University of Graz Fondazione Santa Lucia Hospital Dept. of Physiology and Pharmacology of the University of Rome "Sapienza"

ISBN: (纸本)9781457702150

Memory processes are based on large cortical networks characterized by non-stationary properties and time scales which represent a limitation to the traditional connectivity estimation methods. The recent development of connectivity approaches able to consistently describe the temporal evolution of large dimension connectivity networks, in a fully multivariate way, represents a tool that can be used to extract novel information about the processes at the basis of memory functions. In this paper, we applied such advanced approach in combination with the use of state-of-the-art graph theory indexes, computed on the connectivity networks estimated from high density electroencephalographic (EEG) data recorded in a group of healthy adults during the Sternberg Task. The results show how this approach is able to return a characterization of the main phases of the investigated memory task which is also sensitive to the increased length of the numerical string to be memorized.

关键词： Memory Memory connectivity time varying time scales

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Hybrid geno-fuzzy controller for seismic vibration control

Hybrid geno-fuzzy controller for seismic vibration control

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2012 UKACC International Conference on control, control 2012

作者： Patrascu, Monica Dumitrache, Ioan Dept. of Automatic Control and Systems Engineering University Politehnica of Bucharest Bucharest Romania

ISBN: (纸本)9781467315609

This paper evaluates the possibility of applying a geno-fuzzy control strategy to a magnetorheological semi-active damper for seismic vibration control. The proposed control starategy is designed and then tested and validated in a simulated environment. The control strategy is validated by considering a more destructive seismic disturbance as input for the damper-structure system. The proposed geno-fuzzy hybrid controller offers improved performance and implementability for real-time applications. © 2012 IEEE.

关键词： Vibration control

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Modeling and control of a Novel Hybrid Ground Aerial Robot

Modeling and Control of a Novel Hybrid Ground Aerial Robot

引用

IEEE International Conference on Mechatronics and Automation

作者： Mahmoud Elsamanty Mohamed Fanni Ahmed Ramadan Ahmed Abo-Ismail Mechatronics and Robotics Eng. Dept. Egypt-Japan University of Science and Technology Alexandria Egypt Adjunct Professor at Mechatronics and Robotics Eng. Dept. Egypt-Japan University of Science and Technology. Prod. Eng. & Mechanical Design Dept. Mansoura University Mansoura Egypt. Adjunct Professor at Mechatronics and Robotics Eng. Dept. Egypt-Japan University of Science and Technology. Computers Engineering & Automatic Control Dept. Tanta University Tanta Egypt.

ISBN: (纸本)9781467355599

This paper presents the dynamic modeling and control simulation of a novel robot that combines flying motion and on ground motion into an integrated single robot. The ground motion is based on four wheels configuration that provides more stability. The flying motion is depending on the flying mechanism of quadrotor system. Smart transformation mechanism is developed to switch the robot from the ground motion configuration to the flying motion configuration and vice versa without adding any additional actuators. A manipulator with 3 DOF is added to handle an object during the ground motion and it is useful to hold this object during the flying motion. A CAD model is developed using SOLIDWORKS. The dynamic model of this robot is derived to achieve the eccentricity of the payload, the weight of the eccentric manipulator and managing the variation of the payload in the dynamic model. The derived robot dynamics are highly nonlinear. A controller is designed based on feedback linearization technique to stabilize the robot attitude and altitude. controlling the horizontal movements' nonholonomic constraints is used to generate the desired trajectories of robot attitudes. Another dynamic model and controller have been established for the transformation mechanism. Finally, the simulation results using MATLAB/SIMULINK show that the controller successfully vanish the eccentric effect and stabilize the robot attitude.

关键词： Flying robot Dynamic Modeling of UA V Feedback Linearization technique controller design

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Implement of fuzzy logic system using table lookup scheme by Java language to predict time series data

Implement of fuzzy logic system using table lookup scheme by...

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2012 13th International Carpathian control Conference, ICCC 2012

作者： Kokes, J. Nghien, N.B. Dept. of Automatic Control and Engineering Informatics Czech Technical University in Prague Prague Czech Republic

ISBN: (纸本)9781457718687

Forecasting the future time series values from the past values plays important role in daily life. There are some techniques support for time series analysis such as statistics, Neural Network (NN), Fuzzy Logic (FL) and fusion NN and FL. However, there is lack of easy, free and visual tools for users to analysis time series data. In this paper we try to use Java program language to implement of Fuzzy Logic system using table lookup scheme to predict time series data. The results of our experiments show that our tool can give a high accuracy of prediction results. Since program is written in Java language so it can run across hardware and software platform and easily embed into website for user run through Internet. © 2012 IEEE.

关键词： Forecasting

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Using constrained cubic spline instead of natural cubic spline to eliminate overshoot and undershoot in Hilbert Huang transform

Using constrained cubic spline instead of natural cubic spli...

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2012 13th International Carpathian control Conference, ICCC 2012

作者： Kokes, J. Nghien, N.B. Dept. of Automatic Control and Engineering Informatics Czech Technical University in Prague Prague Czech Republic

ISBN: (纸本)9781457718687

Hilbert-Huang Transform (HHT), proposed by N. E. Huang in 1998, is a novel algorithm for nonlinear and non-stationary signal processing. The key part of this method is decomposition the signal into finite number of Intrinsic Mode Functions (IMF) which will meet the requirements of Hilbert Transform. In this part, the algorithm uses natural cubic spline to connect all local maxima and local minima to produce upper and lower envelope of the signal. However natural cubic spline which may lead overshoot and undershoot at intermediate point. In this paper we propose to apply constrained cubic spline into first part of the HHT to eliminate overshoot in upper and lower envelope. We also propose an improvement on Improved Slope Base Method (ISBM) to limit swing at the end points. The experiments showed that our proposals get better result than original proposal and speed up Empirical Mode Decomposition (EMD) process. © 2012 IEEE.

关键词： Empirical mode decomposition

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