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

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Visual evaluation system for straightness error based on LabVIEW

Visual evaluation system for straightness error based on Lab...

引用

International conference on Mechanic Automation and Control Engineering (MACE)

作者： Wen Wan Zhenyu Xiong School of Aeronautical Manufacturing Engineering Nanchang Hong Kong University Nanchang China

ISBN: (纸本)9781424494361

Because of exiting inefficient and incomplete functional problems in traditional straightness error evaluation, Error measure and evaluation system based on virtual instrument was designed. Two endpoint link line, least-squares algorithm and minimum zone algorithm methods for evaluation straightness error were programmed by means of LabVIEW8.5, the corresponding data processing algorithms and program charts were given. Through experiments the validity of this software was proved, This software can realize visual evaluation.

关键词： Software algorithms Measurement uncertainty visualization Algorithm design and analysis Manufacturing Instruments Software

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The influence of hubness on nearest-neighbor methods in object recognition

The influence of hubness on nearest-neighbor methods in obje...

引用

IEEE International conference on Intelligent Computer Communication and Processing (ICCP)

作者： Nenad Tomašev Raluca Brehar Dunja Mladenić Sergiu Nedevschi Jožef Stefan Institute Artificial Intelligence Laboratory Ljubljana Slovenia Image Processing and Pattern Recognition Group Technical University of Cluj-Napoca Romania

Object recognition from images is one of the essential problems in automatic image processing. In this paper we focus specifically on nearest neighbor methods, which are widely used in many practical applications, not necessarily related to image data. It has recently come to attention that high dimensional data also exhibit high hubness, which essentially means that some very influential data points appear and these points are referred to as hubs. Unsurprisingly, hubs play a very important role in the nearest neighbor classification. We examine the hubness of various image data sets, under several different feature representations. We also show that it is possible to exploit the observed hubness and improve the recognition accuracy.

关键词： Feature extraction Object recognition Entropy Histograms visualization Image color analysis Shape

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Gene Expression data Classification Using Locality Preserving Projections

Gene Expression Data Classification Using Locality Preservin...

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IEEE Symposium on Bioinformatics and Bioengineering (BIBE)

作者： Houqin Bian Ronal Chung Institute of Computer and Information Engineering Shanghai University of Electric Power Shanghai China

Classification analysis of gene expression data could lead to knowledge of gene functions and diseases mechanisms. However, the data involve nonlinear interactions among genes and environmental factors. Worst yet, while the data are usually of high dimensions, the sample sizes acquirable are generally relatively small, resulting in the well known difficulty - the curse of dimensionality - in the classification task. This work describes how gene expression data can be analyzed using Locality Preserving Projections (LPP) manifold learning method. LPP is a dimensionality reduction strategy for feature selection and visualization. Using LPP, the high dimensional gene expression data are mapped to a low dimensional subspace for data analysis. LPP finds the optimal linear approximations to the eigenfunctions of the Laplace Beltrami operator on the manifold. Not only does it share many convenient data-representation properties of the nonlinear techniques like Laplacian Eigenmaps or Locally Linear Embedding, it is also linear and more crucially is defined everywhere in the ambient space rather than just on the training data points. Comparative experimental results with PC A, LDA, LLE, etc. on different gene expression datasets show that the LPP-based method has the potential of being more efficient for complex gene expression data classification.

关键词： Gene expression Manifolds Principal component analysis Accuracy Symmetric matrices Feature extraction Eigenvalues and eigenfunctions

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Multi-target Tracking and Segmentation via Discriminative Appearance Model

Multi-target Tracking and Segmentation via Discriminative Ap...

引用

International conference on 3D Imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Guangxia Li Mingmin Zhang Yang Li Zhigeng Pan Wenjie Zhang CAD&CG State Key Laboratory University of Zhejiang Hangzhou China Intel Asia-Pacific Research and Development Limited Shanghai China

We present a novel discriminative appearance model for monocular multi-target tracking and segmentation in a comparatively crowded scene. Based on the hypothesis that the discriminability among different targets plays an important role in improving the tracking performance, we choose different feature spaces for every target in the scene to insure the discriminability from other targets. In order to adapt to continuously changing appearance, we propose to adjust the updating ratio of the model according to the change of motion direction. We propose a two-level tracking algorithm to track and segment multi-target, which integrates our discriminative appearance model into a probabilistic data association framework. Our tracking algorithm is more effective and efficient. Tracking results on the public dataset PETS2009, compared with the conventional appearance model in the same feature space, show a great improvement, especially in segmenting much more accurately during occlusions and reducing identity switches more significantly.

关键词： Target tracking Adaptation models Image color analysis Histograms Pixel Probabilistic logic

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analysis of phase coding SSVEP based on canonical correlation analysis (CCA)

Analysis of phase coding SSVEP based on canonical correlatio...

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International IEEE/EMBS conference on Neural Engineering, CNE

作者： Yun Li Guangyu Bin Xiaorong Gao Bo Hong Shangkai Gao Department of Biomedical Engineering Tsinghua University Beijing China

Steady-state visual evoked potential (SSVEP) has been widely applied in brain computer interface (BCI) systems. The amplitude and phase features of SSVEP were commonly extracted by Fourier analysis method from single-channel EEG data. In the multichannel case, canonical correlation analysis (CCA) has been utilized for the analysis of frequency coding SSVEP. This paper presents the analysis of phase coding SSVEP using CCA. The phase coding scheme consists of six targets flickering at 10Hz, with a 60° phase difference between any two sequential targets. For each target, 20 trials of 8s EEG signal were acquired. Using CCA, we achieve channel selection and extraction of phase features; a classification accuracy of above 80% is obtained, with the length of the time window up to 4s. The results demonstrate that phase coding SSVEP analysis based on CCA is feasible.

关键词： Encoding Electroencephalography Accuracy Brain computer interfaces Correlation Feature extraction visualization

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A Web-Based Phylogenetic analysis for a Query Gene

A Web-Based Phylogenetic Analysis for a Query Gene

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International conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Shenglong Tan Song Wu School of Computer Hubei University of Economics Wuhan China Services Computing Technology and System Laboratory Cluster and Grid Computing Laboratory School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China

We present a robust web server called Phytree of a query gene for phylogenetic analysis from the latest protein database with a user-friendly, interactive graphical user interface. Phytree of a query gene combines a BLAST search with a suite of tools that allows interactive, phylogenetic-oriented exploration of the BLAST results and flexible selection of homologous sequences among the BLAST hits. Once the selection of the BLAST hits is done, the corresponding sequences can be passed to the phylogenetic tree reconstruction pipelines (multiple alignment, data process, phylogenetic reconstruction, tree visualization). As the major technological innovation, selection of a meaningful subset of BLAST hits is implemented using pipeline programming and tree visualization used Java-based recursive method that allows trees to be integrated and viewed seamlessly in standard web browsers with no extra software required. Phytree of a query gene only needs users to copy their amino acid sequence of their query gene to the input box, and the phylogenetic tree will be built once and for all. This function is very practical for non-specialist in phylogeny. Moreover, Phytree of a query gene introduces several new methods in treatment of intermediate results, which makes it much faster, easier and more accurate, robust in phylogenetic tree reconstruction. It is specially designed for users who have no experience in phylogeny. It is freely available on our web page: http://211.69.198.144/***.

关键词： Phylogeny databases Pipelines Proteins Bioinformatics visualization Software

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EventGraphs: Charting Collections of conference Connections

EventGraphs: Charting Collections of Conference Connections

引用

Annual Hawaii International conference on System Sciences (HICSS)

作者： Derek Hansen Marc A. Smith Ben Shneiderman University of Maryland Center for the Advanced Study of Communities & Information College Park MD USA Connected Action Consulting Group Silicon Valley CA USA University of Maryland Human-Computer Interaction Lab College Park MD USA

EventGraphs are social media network diagrams of conversations related to events, such as conferences. Many conferences now communicate a common "hashtag" or keyword to identify messages related to the event. EventGraphs help make sense of the collections of connections that form when people follow, reply or mention one another and a keyword. This paper defines EventGraphs, characterizes different types, and shows how the social media network analysis add-in NodeXL supports their creation and analysis. The structural patterns to look for in EventGraphs are highlighted and design ideas for their improvement are discussed.

关键词： Twitter Media conferences data visualization Measurement Real time systems

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Simplified parallel domain traversal

Simplified parallel domain traversal

引用

Supercomputing conference

作者： Wesley Kendall Jingyuan Wang Melissa Allen Tom Peterka Jian Huang David Erickson Department of Electrical Engineering and Computer Science University of Tennessee Knoxville USA Department of Civil and Environmental Engineering University of Tennessee Knoxville USA Mathematics and Computer Science Division Argonne National Laboratory USA Computational Earth Sciences Group Oak Ridge National Laboratory USA

Many data-intensive scientific analysis techniques require global domain traversal, which over the years has been a bottleneck for efficient parallelization across distributed- memory architectures. Inspired by MapReduce and other simplified parallel programming approaches, we have designed DStep, a flexible system that greatly simplifies efficient parallelization of domain traversal techniques at scale. In order to deliver both simplicity to users as well as scalability on HPC platforms, we introduce a novel two-tiered communication architecture for managing and exploiting asynchronous communication loads. We also integrate our design with advanced parallel I/O techniques that operate directly on native simulation output. We demonstrate DStep by performing teleconnection analysis across ensemble runs of terascale atmospheric CO 2 and climate data, and we show scalability results on up to 65,536 IBM BlueGene/P cores.

关键词： Atmospheric modeling Scalability data visualization Computer architecture Message systems Protocols Analytical models

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A Visual Simulation Study for An Individual Tree based on Open GL:Mongolian Scots Pine Plantations

A Visual Simulation Study for An Individual Tree based on Op...

引用

2011 International conference on Future Computer Sciences and Application（ICFCSA 2011）

作者： Lingbo Dong Zhaogang Liu Chao Li Department of Forest Management Northeast Forest University

For a clearer demonstration of the morphologicalcharacteristics of an individual Mongolian Scots Pine in itsplantation and more supports for teaching as well as research,in this study,the system analysis principle and mathematicalmodeling techniques were employed to construct themorphology model of an individual Mongolian Scots Pine in *** crown structure model was constructed underthe guidance of quantitative analysis of its morphology *** 3-Dimensional(3-D) geometrical modeling technology ofdifferent organs was also investigated,and organ geometricalmodels were developed according to ***,individual tree model was built bymeans of assembling single *** studies above laid asolid foundation for a virtual system that,with the help of thedeveloping platform of VC++ language and Open GL,canrealize the organic integration between the growth mechanismand the visual expression of morphological ***,it also showed the ideas of the organic integrationbetween crown structure model and *** systemconsists of geometric construction module,crown modelmodule,visualization module,scene control module,twodatabase,and human-machine *** of thesystem turned out to be fully capable of achieving the visualexpression of the morphological characteristics of anindividual Mongolian Scots Pine in its plantation based on thefield measured data or the parameters which was outputted bythe *** only can this visualization be a solidfoundation for visualization of forest management,it can alsobecome a nice reference for the visualization study of otherspecies.

关键词： Mongolian Scots Pine Plantations Morphology model Crown structure mode visualization

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A Spatio-Temporal Knowledge-Discovery Platform for Earth-Science data

A Spatio-Temporal Knowledge-Discovery Platform for Earth-Sci...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： T.C.W. Landgrebe R.D. Muller School of Geosciences Faculty of Science University of Sydney Sydney Australia School of Geosciences Faculty of Science University of Sydney Sydney Australia

The GPlates Geographic Information System (GIS) is a well-established tool for visualising and interacting with multimodal geo-data reconstructed through space and geological time. It overcomes the complexity of changing spatial reference frames due to plate-tectonic processes. Combining vast datasets in this manner is increasing the analysis complexity, with traditional visualisation-based approaches becoming ineffective in extracting key information and discovering hidden associations. This paper discusses the nature of these complexities, followed by the presentation of an extension to GPlates, involving the addition of interactive quantitative data-mining tools and capabilities, better suited to coping with the inherent analysis complexities. A case-study is used to demonstrate the system's unique capabilities. The integrated software infrastructure has manifested itself as a powerful knowledge discovery platform, which has the potential to lead to new high-impact discoveries in the Earth Sciences.

关键词： Complexity theory Geology Libraries Software data mining visualization Programming

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