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IEEE International Joint Conference on Biometrics (IJCB)

作者： Yujie Dong Damon L. Woodard Department of Electrical and Computer Engineering Clemson University USA Biometrics and Pattern Recognition Lab School of Computing Clemson University USA

A wide variety of applications in forensic, government, and commercial fields require reliable personal identification. However, the recognition performance is severely affected when encountering non-ideal images caused by motion blur, poor contrast, various expressions, or illumination artifacts. In this paper, we investigated the use of shape-based eyebrow features under non-ideal imaging conditions for biometric recognition and gender classification. We extracted various shape-based features from the eyebrow images and compared three different classification methods: Minimum Distance Classifier (MD), Linear Discriminant Analysis Classifier (LDA) and Sup- port Vector Machine Classifier (SVM). The methods were tested on images from two publicly available facial im- age databases: The Multiple Biometric Grand Challenge (MBGC) database and the Face Recognition Grand Challenge (FRGC) database. Obtained recognition rates of 90% using the MBGC database and 75% using the FRGC database as well as gender classification recognition rates of 96% and 97% for each database respectively, suggests the shape-based eyebrow features maybe be used for bio- metric recognition and soft biometric classification.

关键词： Eyebrows Manuals Image resolution Image segmentation Measurement

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Journal of Ambient Intelligence and Smart Environments: Preface

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Journal of Ambient Intelligence and Smart Environments 2011年第1期3卷 1-2页

作者： Augusto, Juan Carlos Aghajan, Hamid School of Computing and Mathematics Computer Science Research Institute University of Ulster United Kingdom Lab. Department of Electrical Engineering Stanford University United States

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Impedance control for multi-point human-robot interaction

Impedance control for multi-point human-robot interaction

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作者： Li, Yanan Ge, Shuzhi Sam Yang, Chenguang Social Robotics Lab NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore Singapore Department of Electrical and Computer Engineering Interactive Digital Media Institute National University of Singapore Singapore Singapore School of Computing and Mathematics University of Plymouth Plymouth United Kingdom

ISBN: (纸本)9788995605646

In this paper, impedance control is discussed for multi-point human-robot interaction. The impedance parameters at each interaction point are obtained by taking the environment dynamics into consideration. An optimization method is proposed to deal with the over-constrained problem along with the multipoint interaction control. The desired impedance model in the joint space is accordingly developed. A model-free control method is utilized to guarantee the robot dynamics governed by the desired model. The validity of the proposed methods is verified through simulation. © 2011 Asian Control Association.

关键词： Human robot interaction

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Knowledge granulation in interval-valued information systems

Knowledge granulation in interval-valued information systems

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International Workshop on Intelligent Systems and Applications

作者： Zhang, Nan Miao, Duoqian Gao, Can Department of Computer Science and Technology Tongji University Shanghai 201804 China Department of Computer Science University of Regina Regina SK S4S 0A2 Canada Key Lab. of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering University of Alberta Edmonton AB T6R 2G4 Canada

ISBN: (纸本)9781424498574

Rough set theory, proposed by Pawlak, has been proved to be a mathematical tool to deal with vagueness and uncertainty in intelligent information processing. In this paper, we propose the concept of knowledge granulation in interval-valued information systems, and discuss some important properties. From these properties, it can be shown that the proposed knowledge granulation provides important approaches to measuring the discernibility of different knowledge. It may be helpful for rule evaluation and knowledge discovery in interval-valued information systems. © 2011 IEEE.

关键词： Information systems

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Robust principal component analysis?

Robust principal component analysis?

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作者： Candès, Emmanuel J. Li, Xiaodong Ma, Yi Wright, John Departments of Mathematics and Statistics Stanford University Building 380 450 Serra Mall Stanford CA 94305 United States Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign 145 Coordinated Science Laboratory 1308 West Main Street Urbana IL61801 United States Visual Computing Group Microsoft Research Asia Building 2 No. 5 Dan Ling Street Beijing 100080 China

This article is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component individually? We prove that under some suitable assumptions, it is possible to recover both the low-rank and the sparse components exactly by solving a very convenient convex program called Principal Component Pursuit;among all feasible decompositions, simply minimize a weighted combination of the nuclear norm and of the l1 norm. This suggests the possibility of a principled approach to robust principal component analysis since our methodology and results assert that one can recover the principal components of a data matrix even though a positive fraction of its entries are arbitrarily corrupted. This extends to the situation where a fraction of the entries are missing as *** discuss an algorithm for solving this optimization problem, and present applications in the area of video surveillance, where our methodology allows for the detection of objects in a cluttered background, and in the area of face recognition, where it offers a principled way of removing shadows and specularities in images of faces. © 2011 ACM.

关键词： Face recognition

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A new semi-supervised algorithm for hyperspectral image classification based on spectral unmixing concepts

A new semi-supervised algorithm for hyperspectral image clas...

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3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011

作者： Villa, Alberto Li, Jun Plaza, Antonio Bioucas-Dias, Jose M. GIPSA-lab Signal and Image Dept. Grenoble Institute of Technology - INPG France Faculty of Electrical and Computer Engineering Iceland University of Iceland Iceland Instituto de Telecomunicações Instituto Superior Técnico TULisbon 1900-118 Lisboa Portugal Hyperspectral Computing Laboratory Department of Technology of Computers and Communications University of Extremadura E-10071 Caceres Spain

Spectral unmixing is a fast growing area in hyperspectral image analysis. Many algorithms have been recently developed to retrieve pure spectral components (endmembers) and determine their abundance fractions in mixed pixels, which dominate hyperspectral images. However, possible connections between spectral unmixing concepts and classification algorithms have been rarely investigated. In this work, we propose a new method to perform semi-supervised hyperspectral image classification exploiting the information retrieved with spectral unmixing. The proposed method integrates a well-established discriminative classifier (multinomial logistic regression) with linear spectral unmixing. Furthermore, the proposed method uses a new active sampling approach which takes into account spatial context when generating new samples. The proposed method is experimentally validated using both simulated and real hyperspectral data sets. © 2011 IEEE.

关键词： Classification (of information)

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Hierarchically characterizing CUDA program behavior

Hierarchically characterizing CUDA program behavior

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IEEE International Workshop/Symposium on Workload Characterization

作者： Zhibin Yu Hai Jin Nilanjan Goswami Tao Li Lizy K. John Service Computing Technologies and System Lab/Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Intelligent Design of Efficient Architecture Lab University of Florida Gainesville FL USA Department of Electrical and Computer Engineering University of Texas Austin Austin TX USA

CUDA has become a very popular programming paradigm in parallel computing area. However, very little work has been done for characterizing CUDA kernels. In this work, we measure the thread level performance, collect the basic block level characteristics, and glean the instruction level properties for about 35 programs from CUDA SDK, Parboil, and Rodinia benchmark suites. In addition, we define basic block vectors, synchronization vectors and thread similarity matrix to capture the characteristics of CUDA programs efficiently. We find that CUDA programs have some unique characteristics at each level compared to sequential programs.

关键词： Graphics processing unit Vectors Kernel Instruction sets Programming USA Councils Educational institutions

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Looking around with your brain in a virtual world

Looking around with your brain in a virtual world

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IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain

作者： Bos, Danny Plass-Oude Duvinage, Matthieu Oktay, Oytun Saa, Jaime Delgado Guruler, Huseyin Istanbullu, Ayhan Van Vliet, Marijn Van De Laar, Bram Poel, Mannes Roijendijk, Linsey Tonin, Luca Bahramisharif, Ali Reuderink, Boris HMI Group Faculty of EEMCS University of Twente Netherlands TCTS Lab Electrical Engineering University Mons Belgium Electronics and Communications Corlu Engineering Namik Kemal University Turkey Faculty of Engineering and Natural Sciences VPA Lab Sabanci University Turkey IEE Group of Robotics and Intelligent Systems Universidad del Norte Colombia Department of Electronics and Computer Education Faculty of Technical Education Mugla University Turkey Faculty of Computer Engineering Balikesir University Turkey Radboud University Nijmegen Donders Institute for Brain Cognition and Behaviour Nijmegen Netherlands CNBI École Polytechnique Fédérale de Lausanne Switzerland Radboud University Nijmegen Institute for Computing and Information Sciences Nijmegen Netherlands

ISBN: (纸本)9781424498918

Offline analysis pipelines have been developed and evaluated for the detection of covert attention from electroen-cephalography recordings, and the detection of overt attention in terms of eye movement based on electrooculographic measurements. Some additional analysis were done in order to prepare the pipelines for use in a real-time system. This real-time system and a game application in which these pipelines are to be used were implemented. The game is set in a virtual environment where player is a wildlife photographer on an uninhabited island. Overt attention is used to adjust the angle of the first person camera, when the player is tracking animals. When making a photograph, the animal will flee when it notices it is looked at directly, so covert attention is required to get a good shot. Future work will entail user tests with this system to evaluate usability, user experience, and characteristics of the signals related to overt and covert attention when used in such an immersive environment. © 2011 IEEE.

关键词： Virtual reality

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Passive black-box cryptanalysis of an ultralightweight protocol after eavesdropping one authentication session

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Cryptology and Information Security Series 2011年 6卷 3-17页

作者： Hernandez-Castro, Julio Cesar Peris-Lopez, Pedro Tapiador, Juan E. Phan, Raphael C.-W. Li, Tieyan School of Computing University of Portsmouth Buckingham Building Lion Terrace Portsmouth PO1 3HE United Kingdom Information Security and Privacy Lab Technical University Delft Netherlands Department of Computer Science University of York United Kingdom Department of Electronic and Electrical Engineering Loughborough University United Kingdom Institute for Infocomm Research ASTAR Singapore Singapore

ISBN: (纸本)9781607507215

We present a black-box attack that is able to fully recover the secret values shared between entities involved in an authentication protocol. First, we explain how this black-box technique can be successfully applied against the class of protocols commonly known as ultralightweight protocols. Then, the effectiveness of this attack is shown by successfully cryptanalyzing the David-Prasad ultralightweight protocol [1], which is one of the most recent proposals in this research area. We show how we can recover the secret static identifier ID - the most valuable information which the protocol is designed to conceal - after eavesdropping only one protocol session. Our attack compares favorably to previous attacks against this protocol, and constitutes an interesting alternative for the very realistic scenario of attackers having access only to messages exchanged during a single authentication session. We also show how this disclosure attack can be used to mount a very powerful traceability attack that also improves on previous results. © 2011 The authors and IOS Press. All rights reserved.

关键词： Cryptography

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Investigating resilient high performance reconfigurable computing with minimally-invasive system monitoring

Investigating resilient high performance reconfigurable comp...

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2010 4th International Workshop on High-Performance Reconfigurable computing Technology and Applications, HPRCTA'10, Held in Conjunction with SC10

作者： Huang, Bin Schmidt, Andrew G. Mendon, Ashwin A. Sass, Ron Reconfigurable Computing Systems Lab. Department of Electrical and Computer Engineering University of North Carolina Charlotte NC United States

ISBN: (纸本)9781424495177

As researchers push for Exascale computing, one of the emerging challenges is system resilience. Unlike fault-tolerance which corrects errors, recent reports suggest that resilient systems will need to continue to make progress on an application despite faults. A first step in developing a resilient system is to have robust, scalable system monitoring. The work described here presents a novel, minimally-invasive system monitor that operates over a separate network. We analytically characterize the performance for an arbitrary set of nodes and demonstrate a working implementation of the design. We argue that the hardware approach is inherently superior to the ad hoc, software techniques currently employed in practice. © 2010 IEEE.

关键词： Fault tolerance

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