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International Conference on Multimedia Modeling (MMM)

作者： Chungang Hao Xianjie Qiu Zhaoqi Wang Shengjian Chen Department of Computer Science and Technology North China Electric Power University Beijing China CAS Institute for Computing Technology Beijing China CAS Graduate School Beijing China

Recovery of 3D body pose is a fundamental problem for human motion analysis in many applications. This paper introduces a new silhouette-based framework for inferring human pose from monocular uncalibrated camera and pays more attention on how to retrieving 3D body pose by matching 2D silhouette based on shape context. Finally we retrieve a group of 2D silhouettes from one human motion which has two different viewpoints. By many experiments, the rate of 2D silhouette matching we got is been proved more accurate than that generated by using other methods we have known in this field. To accelerate the matching process of calculating shape context, we use PCA (principal components analysis) to reduce the computation of complexity. In the paper we use trampoline and box sport as examples of complex human motion, to demonstrate the effectiveness of our approach and compare the results with those obtained with Hu moments methods

关键词： Shape Humans Motion analysis Cameras Context-aware services Image reconstruction Content addressable storage Image databases Principal component analysis computers

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Enhancing Training Set for Face Detection

Enhancing Training Set for Face Detection

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International Conference on Pattern Recognition

作者： Ruiping Wang Jie Chen Shiguang Shan Xilin Chen Wen Gao Institute of Computing Technology Chinese Academy of Sciences Beijing CN School of Computer Science and Technology Harbin Institute of Technology Harbin China ICT-ISVISION JDL for Face Recognition Institute of Computing Technology Beijing China Graduate School of the Chinese Academy of Sciences Beijing China

ISBN: (纸本)0769525210

We present a novel method to enhance training set for face detection with nonlinearly generated examples from the original data. The motivation is from support vector machines (SVM) that, for classification problems, examples lying close to class boundary usually have more influence and thus are more informative than those far from the boundary. We utilize a nonlinear technique - reduced set (RS) method and a new image distance metric to generate new examples, and then add them to the original collected database to enhance it. Extensive experiments show that the proposed approach has an encouraging performance

关键词： Face detection Support vector machines Support vector machine classification Kernel Image databases Detectors Face recognition computer science Learning systems Robustness

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A Supervised Constructive Neuro-Immune Network for Pattern Classification

A Supervised Constructive Neuro-Immune Network for Pattern C...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Knidel L. Nunes de Castro F.J. Von Zuben Laboratory of Bioinformatics and Bioinspired Computing-LBiC Department of Computer Engineering and Industrial Automation-DCA School of Electrical and Computer Engineering-FEEC State University of Campinas-UNICAMP Sao Paulo Brazil Graduate Program in Computer Science Catholic University of Santos Sao Paulo Brazil

This paper proposes a supervised version of a learning algorithm for a constructive neuro-immune network. The proposed methodology is developed by taking ideas from the immune system and learning vector quantization. The resulting classification algorithm is characterized by high-performance, similar to the ones produced by alternative methods in the literature, and parsimonious solutions, with a much smaller set of prototypes per class when compared with the other approaches. The number of prototypes is automatically defined by the convergence criterion. The algorithm requires a single user-defined parameter for training, associated with the convergence criterion, and the computational cost is sufficiently reduced to support applications involving large data sets.

关键词： Pattern classification Immune system Neurons Supervised learning Vector quantization Classification algorithms Prototypes Clustering algorithms Unsupervised learning Artificial neural networks

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A profile-based protein sequence alignment algorithm for a domain clustering database

A profile-based protein sequence alignment algorithm for a d...

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IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： Lin Xu Fa Zhang Zhiyong Liu Graduate School of Chinese Academy of Sciences China Key Laboratory of Computer System and architecture Institute of Computing Technology Chinese Academy and Sciences China National Natural Science Foundation China

Aiming at the two main shortcomings in Homology Modeling, we have designed and established a domain clustering database. Searching the database is a fundamental work for it. However, current alignment algorithms are mainly based on the sequences, ignoring the structure conservation in domain. This paper proposed a profile-based alignment which considers the structure information into the profile, based on the character of our domain database. We designed an experiment within the database. The results show that both the quality and sensitivity of our scheme are better than pure Smith-Waterman and sequence-based profile algorithms. We strongly believe that this work can help to improve the protein structure prediction

关键词： Protein sequence Clustering algorithms Databases Sequences Heuristic algorithms Laboratories computer architecture Algorithm design and analysis Computational efficiency Acceleration

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Robust Head Pose Estimation Using LGBP

Robust Head Pose Estimation Using LGBP

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International Conference on Pattern Recognition

作者： Bingpeng Ma Wenchao Zhang Shiguang Shan Xilin Chen Wen Gao Graduate School Chinese Academy and Sciences Beijing China School of Computer Science and Technology Harbin Institute of Technology Harbin China ICT-ISVISION JDL for Face Recognition Institute of Computing Technology Chinese Academy and Sciences Beijing China

ISBN: (纸本)0769525210

In this paper, we introduce a novel discriminative feature which is efficient for pose estimation. The multi-view face representation is based on local Gabor binary patterns (LGBP) and encodes the local facial characteristics in to a compact feature histogram. In LGBP, Gabor filters can extract the feature of the orientation of head and local binary pattern (LBP) can extract the features official local orientation. To keep the spatial information of the multi-view face images, LGBP is operated on many sub-regions of the images. The combination of them can represent well and truly the multi-view face images. Considering the derived feature space, a radial basis function (RBF) kernel SVM classifier is trained to estimate pose. Extensive experiments demonstrate that the facial representation can be effective for pose estimation

关键词： Robustness Head Face detection Histograms Face recognition Support vector machines Support vector machine classification Gabor filters Data mining Feature extraction

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A method to integrate, assess and characterize the protein-protein interactions

A method to integrate, assess and characterize the protein-p...

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IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology (CIBCB)

作者： Fa Zhang Lin Xu Jingchun Chen Zhiyong Liu Bo Yuan Key Laboratory of Computer System and architecture the Institute of Computing Technology Chinese Academy and Sciences China Graduate School Chinese Academy and Sciences China Department of Biomedical Informatics Ohio State Uinversity USA National Natural Science Foundation China

Recently, large-scale protein-protein interactions were recovered using the similar two-hybrid system for the model systems. This information allows us to investigate the protein interaction network from a systematic point of view. However, experimentally determined interactions are susceptible to errors. A previous assessment estimated that only ~10% of the interactions can be supported by more than one independent experiment, and about half of the interactions may be false positives. These false positives might unnecessarily link unrelated proteins, resulting in huge apparent interaction clusters, which complicate elucidation for the biological importance of these interactions. Address this problem, we present an approach to integrate, assess and characterize all available protein-protein interactions in model organisms yeast and fly. We first integrate all available protein-protein interaction databases of yeast and fly, and merge all the datasets. We then use machine learning techniques to score the reliability for each interaction, and to rigorously validate the scoring scheme of yeast protein-protein interactions from different aspects. Our results show that this scoring scheme provides a good basis for selecting reliable protein-protein interaction dataset

关键词： Proteins Fungi Databases Electronics packaging Machine learning Genetics Laboratories Biomedical computing computer architecture Biomedical informatics

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Capturing Cellular Communication with Guided Electrode Network on a Silicon Integrated Circuit Chip

Capturing Cellular Communication with Guided Electrode Netwo...

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2006 8th International Conference on Solid-State and Integrated Circuit Technology

作者： Mansun Chan Chi-Kong Yeung Yijin Wang Jin He Sven Ingebrandt Andreas Offenhaeusser Dept.of Electronic and Computer Engineering Hong Kong University of Science & Technology Bioengineering Graduate Program Hong Kong University of Science & Technology Institute of Microelectronic Peking University Juelich Research Center Institute for Thin Films and Interfaces(ISG-2)Leo-Brandt Str.52425 JuelichGermany

ISBN: (纸本)1424401607

This paper describes the development of a Multi-Electrode Array(MEA)with Guided Network for Cell-to-Cell Communication Transduction using a standard integrated circuit(IC) fabrication *** conventional electronic system,bio-system requires a special handling environment that is uncommon in conventional IC *** work presented here demonstrated the interaction between electrically active cells such as neuron and cardiac cells and an IC based *** a carefully designed array,and ionic action of a cell, extracellular signals can be captured and imaged.

关键词： Capturing Cellular Communication with Guided Electrode Network on a Silicon Integrated Circuit Chip

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Dual round-robin algorithm for combined input-crosspoint-queued switches

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Jisuanji Yanjiu yu Fazhan/computer Research and Development 2006年第7期43卷 1225-1232页

作者： Zheng, Yanfeng Sun, Shutao He, Simin Gao, Wen Institute of Computing Technology Chinese Academy of Sciences Beijing 100080 China Graduate University Chinese Academy of Sciences Beijing 100049 China School of Electronics Engineering and Computer Science Peking University Beijing 100871 China

The CICQ switch fabric is an ideal solution to multi-terabit switch implementation owing to its nice distributed scheduling property. Round-robin algorithms have been extensively studied because of their simplicity for hardware implementation. It is known that round-robin algorithms provide high throughput under uniform traffic;however, the performance is degraded under nonuniform traffic. In this paper, the reason for the performance degradation of the existing round-robin algorithms is pointed out and then a class of dual round-robin algorithms is proposed. For the proposed algorithms, each input arbiter is associated with dual round-robin pointers named the primary pointer and the secondary pointer respectively. The input queue corresponding to the primary pointer has the highest priority being scheduled, and the decision for updating the primary pointer can be dynamically made relying on the input queue status. When the input queue corresponding to the primary pointer is blocked, other input queues can be uniformly scheduled according to the secondary pointer position. Simulations show that the dual round-robin algorithms can significantly improve the performance of the CICQ switch under nonuniform traffic.

关键词： Routers

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Transforming K-12 education via the collaborative large-scale engineering analysis network for environmental research (CLEANER) project

Transforming K-12 education via the collaborative large-scal...

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113th Annual ASEE Conference and Exposition, 2006

作者： Eschenbach, Elizabeth Johnson, James H. Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States Board of Scientific Counselors Executive Committee U.S. Environmental Protection Agency Office of Research and Development United States EPA's Science Advisory Board Department of Energy-sponsored HBCU/MI Environmental Technology Consortium Board Environmental Studies and Toxicology and the Engineering Council of the American Society for Engineering Education United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute ot Technology U.S. Air Forcer United States Army's Aberdeen Proving Ground NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Civil Engineering Washington University St. Louis United States Environmental Engineering Science Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States U.S. EPA Office of Research and Development United States National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University of Illinois United States

The Collaborative Large-scale Engineering Analysis Network for Environmental Research (CLEANER) Project Office has been established with funding from the National science Foundation (NSF) to the University of Illinois Urbana-Champaign (UIUC) and a coalition of 11 other institutions. The project office is coordinating the creation of a strategic plan consisting of research, cyberinfrastructure, and education plans that set forth a roadmap for the collaborative engineering analysis network for the study of environmental problems. This report will be completed by July 2007 and requires input from K-12 educators, administrators and other stakeholders in K-12 education. This paper describes the CLEANER project, provides an example of the CLEANER Education Committee's vision for the K-12 area and lists contacts for further information. The intention of this paper is to elicit input from the K-12 engineering education community, including K-12 educators, on how the CLEANER Education Plan could better meet the future needs of K-12 students and educators © American Society for Engineering Education, 2006.

关键词： Engineering education

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Chitosan for Biofunctionalization of Microsystems

Chitosan for Biofunctionalization of Microsystems

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IEEE/NLM Life science Systems and Applications Workshop

作者： Stephan T. Koev Michael A. Powers Vlad Badilita Hyunmin Yi William E. Bentley Gregory F. Payne Gary W. Rubloff Reza Ghodssi Institute for Systems Research ISR University of Maryland College Park MD USA University System of Maryland Adelphi MD US Department of Materials Science and Engineering University of Maryland College Park MD USA Department of Chemical Engineering University of Maryland College Park MD 20742 University of Maryland Biotechnology Institute (UMBI) University of Maryland College Park MD 20742 Bioengineering Graduate Program University of Maryland College Park MD 20742 University of Maryland College Park MD USA University of Maryland Biotechnology Institute College Park MD USA Institute for Systems Research (ISR) University of Maryland College Park MD 20742 Department of Materials Science and Engineering University of Maryland College Park MD 20742 Department of Electrical and Computer Engineering University of Maryland College Park MD 20742 Institute for Systems Research (ISR) University of Maryland College Park MD 20742

ISBN: (纸本)1424402778

We present the use of the polysaccharide chitosan for immobilizing biomolecules on microfabricated device surfaces. The main advantages of chitosan are its abundance of primary amine groups and its ability to be electrodeposited. Biomolecules are easily attached to chitosan 's amines by standard glutaraldehyde chemistry. The electrodeposition of chitosan allows accurate spatial and temporal control of biomolecule placement. We have demonstrated this biofunctionalization method for two different bioMEMS devices: a biophotonic sensor and a micromechanical biosensor. We have successfully assembled probe DNA on each of them and detected hybridization with target DNA as a demonstration of sensor operation. Here, we briefly present the fabrication procedure and testing results for both of these bioMEMS sensing devices

关键词： DNA Biosensors Molecular biophysics Probes Micromechanical devices Optical sensors Optical surface waves Optical interferometry Assembly Biomedical optical imaging

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