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检索条件"任意字段=Conference on Visualization and Data Analysis 2011"

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A space-time visualization analysis method for urban traveler information

A space-time visualization analysis method for urban travele...

引用

1st International conference on Transportation Information and Safety: Multimodal Approach to Sustained Transportation System Development - Information, Technology, Implementation, ICTIS 2011

作者： Zhang, Jianqin Xu, Zhijie Wu, Haiyan Beijing University of Civil Engineering and Architecture School of Geomatic and Urban Spatial Information Zhanlanguan Road No.1 Beijing 100044 China Beijing University of Civil Engineering and Architecture School of Science Zhanlanguan Road No.1 Beijing 100044 China Beijing University of Civil Engineering and Architecture School of Civil and Transportation Engineering Zhanlanguan Road No.1 Beijing 100044 China

ISBN: (纸本)9780784411773

Resident trips survey aim to find out the regular pattern of the resident trips such as the flow and direction of traveler in different space and time, the composition of transportation and traveler behavior parameters. However, the traditional methods of investigation have many shortcomings, such as not having enough samples, consuming a large amount of manpower and resources etc. In this paper, based on a large sample of mobile phone location data and geographic information system (GIS) data, a new method is designed and carried out in research of urban residents' trips pattern. In this paper, the research related to the development of a space-time GIS for exploring individual-based data are introduced briefly. The GIS data modeling for traveler space-time path is built up, and a visualization platform for analyzing temporal-spatial behavior patterns is designed and developed based on C# and ArcGIS Engine. Through matching up space-time path with road GIS data at a certain period of time, the individual transportation can be found out, the trip frequency, trip distance and trip time-consuming per day can be acquired. © 2011 ASCE.

关键词： Information management

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A NEW METHOD FOR VISUAL STYLOMETRY ON IMPRESSIONIST PAINTINGS

A NEW METHOD FOR VISUAL STYLOMETRY ON IMPRESSIONIST PAINTING...

引用

IEEE International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qi, Hanchao Hughes, Shannon Univ Colorado Dept Elect Comp & Energy Engn Boulder CO 80309 USA

ISBN: (纸本)9781457705397

A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assist art connoisseurs in determining the painting's likely creator. The premise is that each artist's brushwork is likely to contain features that are characteristic of the artist's unique habitual physical movements;these features could be identified and characterized through machine learning. In this paper, we describe a new technique for this problem. We extract, as features for our classifier, parameters of both Hidden Markov Tree models and linear predictor models of the painting's wavelet coefficients. We then use the FINE dimensionality reduction technique [1] to produce an unsupervised low-dimensional embedding of the data. Tests on two dataset consisting of over 100 high-resolution digital images of impressionist paintings by Van Gogh and contemporaries shows good separation between paintings of Van Gogh and others is achieved via this unsupervised process. We further show (through comparison with the alternative) that our method benefits greatly from (1) using only background sections of each painting in our analysis, (2) the FINE technique, and (3) the use of both HMT and linear predictor features together in the same analysis. All three of these technique choices are new in this paper. We hope that our method can be a tool, used carefully in conjunction with the connoisseur's expertise and other examinations, to determine a painting's true authorship.

关键词： Art Feature extraction Hidden Markov models Painting Predictive models visualization Wavelet transforms

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Radio Frequency cardiopulmonary waveform for subject identification

Radio Frequency cardiopulmonary waveform for subject identif...

引用

45th Asilomar conference on Signals, Systems and Computers, ASILOMAR 2011

作者： Ó Gríofa, Marc Blue, Rebecca S. Friedman, Robert Jaech, Aaron Bhagavatula, Madhu Hu, Siying D. Savvides, Marios University of Limerich Ireland Non-Invasive Medical Technologies 6412 S. Arville Las Vegas NV 89118 United States Orlando Health Orlando FL United States Carnegie Mellon University Pittsburgh PA United States

ISBN: (纸本)9781467303231

Radio Frequency Impedance Interrogation (RFII) measures hemodynamic function via resonance frequency coupling to a hydrophilic protein molecule and the resonant return signal phase change. The RFII device generates a cardiosynchronous waveform from the identification of blood movement in the time, frequency, and voltage domains. While the application of this technology to hemodynamic monitoring has demonstrated initial success, this small pilot study examined the use of RFII for subject identification by cardiosynchronous waveform signal analysis, which would allow confirmation of the identity of a subject in an operational setting. Preliminary results demonstrate 86% successful subject identification using the RFII cardiosynchronous waveform signature and simple pattern recognition classification, with as high as 100% identification with improvements to phase-shift recognition. Each individual appears to have a unique waveform morphology that is visually distinct from the other individuals in the data set. These results suggest that RFII may hold great potential as a biometric identifier and the rapid identification and authentication of subjects in the operational setting. © 2011 IEEE.

关键词： data visualization

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analysis, indexing and visualization of presentation videos 11

Analysis, indexing and visualization of presentation videos

引用

19th ACM International conference on Multimedia ACM Multimedia 2011, MM'11

作者： Merler, Michele Department of Computer Science Columbia University NY United States

ISBN: (纸本)9781450306164

The exponential diffusion of unstructured multimedia content on sites such as YouTube has lately fostered a rapid growth of interest in the multimedia community toward a new line of systems to recognize visual content "in the wild", that is, in less structured, unconstrained and more realistic domains. Due to the lack of structure and to the low quality of the data, algorithms and paradigms designed for professional content often cannot directly be applied to the aforementioned domains, thus presenting a new challenge. One instance of such "wild videos" is represented by un-structured presentation videos, which are tools nowadays employed in a large variety of systems for different purposes, spanning from distance or e-learning to generation of conference proceedings, from corporate talks to student presentations. We are interested in helping users efficiently and effectively access visual information, in particular technical information, and learn from such online multimedia sources. Our proposed system aims at summarizing, indexing, cross-referencing and browsing unstructured ("wild") presentation videos, with a focus on the quality of the produced indexes as perceived by the end users. Copyright 2011 ACM.

关键词： Indexing (of information)

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Learning Tactile Characterizations Of Object- And Pose-specific Grasps

Learning Tactile Characterizations Of Object- And Pose-speci...

引用

IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Bekiroglu, Yasemin Detry, Renaud Kragic, Danica KTH CSC Ctr Autonomous Syst Stockholm Sweden

ISBN: (纸本)9781612844558

Our aim is to predict the stability of a grasp from the perceptions available to a robot before attempting to lift up and transport an object. The percepts we consider consist of the tactile imprints and the object-gripper configuration read before and until the robot's manipulator is fully closed around an object. Our robot is equipped with multiple tactile sensing arrays and it is able to track the pose of an object during the application of a grasp. We present a kernel-logistic-regression model of pose-and touch-conditional grasp success probability which we train on grasp data collected by letting the robot experience the effect on tactile and visual signals of grasps suggested by a teacher, and letting the robot verify which grasps can be used to rigidly control the object. We consider models defined on several subspaces of our input data - e.g., using tactile perceptions or pose information only. Our experiment demonstrates that joint tactile and pose-based perceptions carry valuable grasp-related information, as models trained on both hand poses and tactile parameters perform better than the models trained exclusively on one perceptual input.

关键词： Grasping Kernel Stability analysis Tactile sensors visualization

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conference committee

Conference committee

引用

IEEE Symposium on Large data analysis and visualization (LDAV)

Provides a listing of current committee members.

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Parallel Rough Set: Dimensionality Reduction and Feature Discovery of Multi-dimensional data in visualization

Parallel Rough Set: Dimensionality Reduction and Feature Dis...

引用

18th International conference on Neural Information Processing (ICONIP)

作者： Huang, Tze-Haw Huang, Mao Lin Jin, Jesse S. Univ Technol Sydney Sch Software Sydney NSW 2007 Australia Univ Newcastle Sch Design Commun & Informat Technol Newcastle NSW 2308 Australia

ISBN: (纸本)9783642249570;9783642249587

Attempt to visualize high dimensional datasets typically encounter over plotting and decline in visual comprehension that makes the knowledge discovery and feature subset analysis difficult. Hence, reshaping the datasets using dimensionality reduction technique is paramount by removing the superfluous attributes to improve visual analytics. In this work, we applied rough set theory as dimensionality reduction and feature selection methods on visualization to facilitate knowledge discovery of multi-dimensional datasets. We provided the case study using real datasets and comparison against other methods to demonstrate the effectiveness of our approach.

关键词： Dimensionality Reduction Rough Set Theory Feature Selection Knowledge Discovery Parallel Coordinate Visual Analytics

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Comparison of Several Image Features for WCE Video Abstract

Comparison of Several Image Features for WCE Video Abstract

引用

IEEE/RSJ International conference on Intelligent Robots and Systems

作者： Li, Baopu Meng, Max Q. -H. Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China

ISBN: (纸本)9781612844558

The direct view of the inner tract of the small intestine is not feasible until a recently revolutionary imaging technology, wireless capsule endoscopy (WCE), appeared in 2001. However, interpretation of the produced video data for the digestive tract on each patient is left to naked eyes of medical staffs. Such a process is very tedious and time-consuming with the average inspection time about two hours for a whole WCE video. To overcome this big problem, automatic WCE video analysis is required. In this paper, we propose a comparative study of several image based features that may be suitable for WCE video abstract, which may be a good candidate to reduce the burden of physicians. Color, texture and motion features built from images are investigated and compared to show their performance in representing video content for a WCE video abstract. Preliminary experimental results of these features for WCE video abstract are also demonstrated and discussed. It is found that textural and motion features may be suitable candidates for visual frame depiction for WCE video abstract in terms of visual content representation and compression ratio. Clinical validation of our work remains to be implemented in the near future.

关键词： Cameras Feature extraction Image color analysis Lighting Medical services Motion segmentation visualization

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Service-oriented integration and application of earthquake emergency information

Service-oriented integration and application of earthquake e...

引用

International conference on Geoinformatics

作者： Wang, Xianghong Liu, Jiping Wang, Yong Xu, Shenghua School of Geomatics Liaoning Technical University Fuxin China Department of Government GIS Chinese Academy of Surveying and Mapping Beijing China

ISBN: (纸本)9781612848488

To integrate the kinds of multi-source heterogeneous emergency information resources, in this paper, a Service-oriented Architecture (SOA) based earthquake emergency information integration framework is proposed, and then discusses the service-based integration methods of seismic disaster information, thematic information, analysis and specialty GIS, and describes the key technologies of management, sharing integration and visualization of the multi-source heterogeneous mass emergency information. The service-based unified two-dimensional and three-dimensional disaster information service platform is developed by taking Yushu earthquake of China as a case study, it proves that this architecture is feasible and effective for emergency information integration solution. © 2011 IEEE.

关键词： data integration

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A Classification Scheme for Characterizing Visual Mining

A Classification Scheme for Characterizing Visual Mining

引用

Symposium on Human Interface/14th International conference on Human-Computer Interaction (HCI)

作者： Mozaffari, Elaheh Mudur, Sudhir Concordia Univ Montreal PQ Canada

ISBN: (纸本)9783642216688;9783642216695

Visual mining refers to the cognitive process which integrates the human in analysis of information when using interactive visualization systems. This paper presents a classification scheme which provides user-centered representation of goals and actions that a user performs during the visual mining process. The classification scheme has been developed using content-analysis of published literature containing precise descriptions of different visual mining tasks in multiple fields of study. There were two stages in the development. First, we defined all the sub-processes of visual mining process. Then we used these sub-processes as a template to develop the initial coding scheme prior to utilizing specific data from each of the publications. As analysis proceeded, additional codes were developed and the initial coding scheme was refined. The results of the analysis were represented in the form of a classification scheme of the visual mining process. The naturalistic methods recommended by Lincoln and Guba have been applied to ensure that the content analysis is credible, transferable, dependable and confirmable.

关键词： Visual mining large dataset analysis human information behaviour

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