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An improved super-resolution with manifold learning and histogram matching

International Conference on Biometrics, ICB 2006

作者： Chan, Tak Ming Zhang, Junping Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)3540311114

Biometric Person Authentication such as face, fingerprint, palmprint and signature depends on the quality of image processing. When it needs to be done under a low-resolution image, the accuracy will be impaired. So how to recover the lost information from down-sampled images is important for both authentication and preprocessing. Based on Super-Resolution through Neighbor Embedding algorithm and histogram matching, we propose an improved super-resolution approach to choose more reasonable training images. First, the training image are selected by histogram matching. Second, neighbor embedding algorithm is employed to recover the high-resolution image. Experiments in several images show that our improved super-resolution approach is promising for potential applications such as low-resolution mobile phone or CCTV (Closed Circuit Television) image person authentication. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Pattern matching

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UML-based service robot software development: A case study

UML-based service robot software development: A case study

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28th International Conference on Software Engineering 2006, ICSE '06

作者： Kim, Minseong Kim, Suntae Park, Sooyong Choi, Mun-Taek Kim, Munsang Gomaa, Hassan Department of Computer Science Sogang University Seoul Korea Republic of Center for Intelligent Robotics Frontier 21 Program Korea Institute of Science and Technology Seoul Korea Republic of Dept. of Information and Software Engineering George Mason University Fairfax VA 22030 United States

ISBN: (纸本)1595933751

The research field of intelligent Service Robots, which has become more and more popular over the last years, covers a wide range of applications from climbing machines for cleaning large storefronts to robotic assistance for disabled or elderly people. When developing service robot software, it is a challenging problem to design the robot architecture by carefully considering user needs and requirements, implement robot application components based on the architecture, and integrate these components in a systematic and comprehensive way for maintainability and reusability. Furthermore, it becomes more difficult to communicate among development teams and with others when many engineers from different teams participate in developing the service robot. To solve these problems, we applied the COMET design method, which uses the industry-standard UML notation, to developing the software of an intelligent service robot for the elderly, called T-Rot, under development at Center for intelligent robotics (CIR). In this paper, we discuss our experiences with the project in which we successfully addressed these problems and developed the autonomous navigation system of the robot with the COMET/UML method. Copyright 2006 ACM.

关键词： intelligent robots

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A learning and control approach based on the human neuromotor system

A learning and control approach based on the human neuromoto...

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IEEE/RAS-EMBS International Conference on Biomedical robotics and Biomechatronics (BioRob)

作者： B. Rohrer S. Hulet Cybernetic Systems Integration Department Sandia National Laboratories Intelligent Systems and Robotics Center Albuquerque NM USA Computer Science Department Brigham Young University Provo UT USA

Current models of human motor learning and control typically employ continuous (or near continuous) movement commands and sensory information. However, research suggests that voluntary motor commands are issued in discrete-time submovements. There is also reasonable support for the hypothesis that human sensory experience is episodic as well. These facts have motivated the development of a learning algorithm that employs discrete-time sensory and motor control events, S-learning. We present this algorithm together with the results of simulated robot control. The results show that the learning that takes place is adaptive and is robust to a variety of conditions that many traditional controllers are not capable of handling, including random errors in the actuators and sensors, random transmission time delays, hard nonlinearities, time varying system behavior, and unknown structure of system dynamics. The performance of S-learning suggests that it may be an appropriate high-level control scheme for complex robotic systems, including walking, cooperative manipulation, and humanoid robots

关键词： Control systems Humans Legged locomotion Humanoid robots Motor drives Robot control Programmable control Adaptive control Robust control Nonlinear control systems

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An Investigation of Immune Match, Immune Memory and Complement Operator in Immune Detection Algorithm

An Investigation of Immune Match, Immune Memory and Compleme...

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World Congress on intelligent Control and Automation (WCICA)

作者： Ya-jing Zhang Hui-wen Leng Institute of Computer Science & Technology Yantai University Yantai Shandong China Department of Intelligent Robotics Yantai University Yantai Shandong China

Inspiring by biological immune principles, many immune detection algorithms in the area of artificial immune system are introduced. In this paper, such problems as immune memory, immune match and niching strategy in the algorithms are discussed. The idea of scheme match and complement operator are proposed. The experiments that are in the area of virus detection and intrusion detection are made. Shown by experiments, the algorithm joined scheme match and complement operator improves the problem of hole and keeps variety of antibodies. And its detecting efficiency is increased obviously

关键词： Detection algorithms Immune system Pathogens Detectors Cloning Artificial immune systems intelligent robots Intrusion detection Vaccines Adaptive systems

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Classification with the hybrid of manifold learning and gabor wavelet

Classification with the hybrid of manifold learning and gabo...

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3rd International Symposium on Neural Networks, ISNN 2006 - Advances in Neural Networks

作者： Zhang, Junping Shen, Chao Feng, Jufu Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China National Key Laboratory for Machine Perception School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

ISBN: (纸本)354034439X

While manifold learning algorithms can discover intrinsic low-dimensional manifold embedded in the high-dimensional Euclidean space, the discriminant ability of the low-dimensional subspaces obtained by the algorithms is often lower than those obtained by the conventional dimensionality reduction approaches. Furthermore, the original feature vectors may include redundancy such as high-order correlation which cannot be removed by manifold learning algorithms. To address the two problems, we first employ Gabor wavelet to remove intrinsic redundancies of images and obtain a set of over-completed feature vectors. Then a supervised manifold learning algorithm (ULLELDA) is applied to project Gabor-based data and out-of-the-samples into a common low-dimensional subspace. Experiments in two FERET face databases indicate that Gabors indeed help supervised manifold learning to remarkably improve the discriminant ability of low-dimensional subspaces. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Wavelet transforms

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Impression conveyance with responsive robot gaze in a conversational situtation

Impression conveyance with responsive robot gaze in a conver...

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RO-MAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication

作者： Yoshikawa, Yuichiro Shinozawa, Kazuhiro Ishiguro, Hiroshi Hagita, Norihiro Miyamoto, Takanori Intelligent Robotics and Communication Laboratories Advanced Telecommunication Research Institute International 2-2-2 Hikaridai Keihanna Science City Kyoto 619-0288 Japan Department of Adaptive Machine Systems Graduate School of Engineering Osaka University 2-1 Yamadaoka Suita Osaka 565-0871 Japan

ISBN: (纸本)1424405653

In face-to-face communication, eyes play a central role, for example, in directing attention and regulating turntaking. For this reason, the eyes have been a central topic in several fields of interaction study. Although many psychological findings have encouraged previous work in both humancomputer and human-robot interaction studies, so far there have been few explorations on how to move the agent's eye, including when to move it, for communication. Therefore, we investigate this topic in this study. The impression a person forms from an interaction is strongly influenced by the degree to which their partner's gaze direction correlates with their own. In this paper, we evaluate two primitive ways of controlling a robot's gaze responsively to its partner's gaze by comparison with two additional ways of non-responsive gaze control in an experiment set in a conversational situation. Consequently, we confirm that robots with different types of responsive gaze control can give subjects different impressions of its characteristics. ©2006 IEEE.

关键词： Human robot interaction

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Geometrical probability covering algorithm

Geometrical probability covering algorithm

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2nd International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2005

作者： Zhang, Junping Li, Stan Z. Wang, Jue Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science and Engineering Fudan University Shanghai 200433 China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing 100080 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing 100080 China

ISBN: (纸本)9783540283126

In this paper, we propose a novel classification algorithm, called geometrical probability covering (GPC) algorithm, to improve classification ability. On the basis of geometrical properties of data, the proposed algorithm first forms extended prototypes through computing means of any two prototypes in the same class. Then Gaussian kernel is employed for covering the geometrical structure of data and used as a local probability measurement. By computing the sum of the probabilities that a new sample to be classified to the set of prototypes and extended prototypes, the classified criterion based on the global probability measurement is achieved. The proposed GPC algorithm is simple but powerful, especially, when training samples are sparse and small size. Experiments on several databases show that the proposed algorithm is promising. Also, we explore other potential applications such as outlier removal with the proposed GPC algorithm. © Springer-Verlag Berlin Heidelberg 2005.

关键词： Algorithms

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Batch and online spam filter comparison

Batch and online spam filter comparison

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3rd Conference on Email and Anti-Spam, CEAS 2006

作者： Cormack, Gordon V. Bratko, Andrej David R. Cheriton School of Computer Science University of Waterloo Waterloo ON N2L 3G1 Canada Department of Intelligent Systems Jozef Stefan Institute Jamova 39 Ljubljana SI1000 Slovenia

In the TREC 2005 Spam Evaluation Track, a number of popular spam filters - all owing their heritage to Graham's A Plan for Spam - did quite well. Machine learning techniques reported elsewhere to perform well were hardly represented in the participating filters, and not represented at all in the better results. A non-traditional technique - Prediction by Partial Matching (PPM) - performed exceptionally well, at or near the top of every test. Are the TREC results an anomaly? Is PPM really the best method for spam filtering? How are these results to be reconciled with others showing that methods like Support Vector Machines (SVM) are superior? We address these issues by testing implementations of five different classification methods on the TREC public corpus using the online evaluation methodology introduced in TREC. These results are complemented with cross validation experiments, which facilitate a comparison of the methods considered in the study under different evaluation schemes, and also give insight into the nature and utility of the evaluation regimens themselves. For comparison with previously published results, we also conducted cross validation experiments on the Ling-Spam and PU1 datasets. These tests reveal substantial differences attributable to different test assumptions, in particular batch vs. on-line training and testing, the order of classification, and the method of tokenization. Notwithstanding these differences, the methods that perform well at TREC also perform well using established test methods and corpora. Two previously untested methods - one based on Dynamic Markov Compression and one using logistic regression - compare favorably with competing approaches.

关键词： Support vector machines

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Robust multi-target tracking using spatio-temporal context

Robust multi-target tracking using spatio-temporal context

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： H.T. Nguyen Qiang Ji A.W.M. Smeulders Department of Electrical Computer and Systems Engineering Rensselaer Polytechnic Institute USA Intelligent Sensory Information Systems Faculty of Science University of Amsterdam Netherlands

In multi-target tracking, the maintaining of the correct identity of targets is challenging. In the presented tracking method, accurate target identification is achieved by incorporating the appearance information of the spatial and temporal context of each target. The spatial context of a target involves local background and nearby targets. The first contribution of the paper is to provide a new discriminative model for multi-target tracking with the embedded classification of each target against its context. As a result, the tracker not only searches for the image region similar to the target but also avoids latching on nearby targets or on a background region. The temporal context of a target includes its appearances seen during tracking in the past. The past appearances are used to train a probabilistic PCA that is used as the measurement model of the target at the present. As the second contribution, we develop a new incremental scheme for probabilistic PCA. It can update accurately the full set of parameters including a noise parameter still ignored in related literature. The experiments show robust tracking performance under the condition of severe clutter, occlusions and pose changes.

关键词： Target tracking Principal component analysis Maintenance engineering systems engineering and theory intelligent systems intelligent sensors Information systems Context modeling Noise robustness Layout

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2006年 3937 LNAI卷 V-VI页

作者： La Poutré, Han Sadeh, Norman Janson, Sverker CWI Amsterdam Netherlands Department of Information Systems Eindhoven University of Technology Netherlands United States Intelligent Systems Laboratory SICS Swedish Institute ot Computer Science Sweden

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