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检索条件"任意字段=Conference on Visual Data Exploration and Analysis II"

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exploration of LICA Detections in Resting State fMRI

Exploration of LICA Detections in Resting State fMRI

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4th International Work-conference on the Interplay Between Natural and Artificial Computation (IWINAC)

作者： Chyzhyk, Darya Shinn, Ann K. Grana, Manuel Univ Basque Country Dept CCIA Computat Intelligence Grp Apdo 649 San Sebastian 20080 Spain Mclean Hosp Boston MA 02478 USA Harvard Med Sch Boston MA 02115 USA

ISBN: (纸本)9783642213267

Lattice Independent Component analysis (LICA) approach consists of a detection of lattice independent vectors (endmembers) that are used as a basis for a linear decomposition of the data (unmixing). In this paper we explore the network detections obtained with LICA in resting state fMRI data from healthy controls and schizophrenic patients. We compare with the findings of a standard Independent Component analysis (ICA) algorithm. We do not find agreement between LICA and ICA. When comparing findings on a control versus a schizophrenic patient, the results from LICA show greater negative correlations than ICA, pointing to a greater potential for discrimination and construction of specific classifiers.

关键词： Independent component analysis

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The First Audio/visual Emotion Challenge and Workshop - An Introduction 4th

The First Audio/Visual Emotion Challenge and Workshop - An I...

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4th Bi-Annual International conference of the Humaine Association on Affective Computing and Intelligent Interaction (ACii 2011)

作者： Schuller, Bjoern Valstar, Michel Cowie, Roddy Pantic, Maja Tech Univ Munich Inst Human Machine Commun Munich Germany

ISBN: (纸本)9783642245701

The Audio/visual Emotion Challenge and Workshop (http://***/avec2011) is the first competition event aimed at comparison of automatic audio, visual, and audiovisual emotion analysis. The goal of the challenge is to provide a common benchmark test set for individual multimodal information processing and to bring together the audio and video emotion recognition communities, to compare the relative merits of the two approaches to emotion recognition under well-defined and strictly comparable conditions, and establish to what extent fusion of the approaches is possible and beneficial. A second motivation is the need to advance emotion recognition systems to be able to deal with naturalistic behavior in large volumes of un-segmented, non-prototypical and non-preselected data as this is exactly the type of data that real systems have to face in the real world. Three emotion detection sub-challenges were addressed: emotion detection from audio, from video, or from audiovisual information. As benchmarking database the SEMAINE database of naturalistic dialogues was used. Emotion needed to be recognized in terms of positive/negative valence, and high and low activation (arousal), expectancy, and power.

关键词： Emotion Recognition

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User-study based optimization of fast and accurate Mahalanobis brushing in scatterplots

User-study based optimization of fast and accurate Mahalanob...

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2017 conference on Vision, Modeling and visualization, VMV 2017

作者： Fan, Chaoran Hauser, Helwig University of Bergen Norway

ISBN: (纸本)9783038680499

Brushing is at the heart of most modern visual analytics solutions with coordinated, multiple views and effective brushing is crucial for swift and efficient processes in data exploration and analysis. Given a certain data subset that the user wishes to brush in a data visualization, traditional brushes are usually either accurate (like the lasso) or fast (e.g., a simple geometry like a rectangle or circle). In this paper, we now present a new, fast and accurate brushing technique for scatterplots, based on the Mahalanobis brush, which we have extended and then optimized using data from a user study. We explain the principal, sketch-based model of our new brushing technique (based on a simple click-and-drag interaction), the details of the user study and the related parameter optimization, as well as a quantitative evaluation, considering efficiency, accuracy, and also a comparison with the original Mahalanobis brush. © 2017 The Author(s).

关键词： data visualization

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AVEC 2011-The First International Audio/visual Emotion Challenge

AVEC 2011-The First International Audio/Visual Emotion Chall...

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4th Bi-Annual International conference of the Humaine Association on Affective Computing and Intelligent Interaction (ACii 2011)

作者： Schuller, Bjoern Valstar, Michel Eyben, Florian McKeown, Gary Cowie, Roddy Pantic, Maja Tech Univ Munich Inst Human Machine Commun Munich Germany Imperial Coll London Intelligent Behav Understand Group London England Queens Univ Belfast Sch Psychol Belfast BT7 1NN Antrim North Ireland Univ Twente EEMCS POB 217 NL-7500 AE Twente Netherlands

ISBN: (纸本)9783642245701

The Audio/visual Emotion Challenge and Workshop (AVEC 2011) is the first competition event aimed at comparison of multimedia processing and machine learning methods for automatic audio, visual and audiovisual emotion analysis, with all participants competing under strictly the same conditions. This paper first describes the challenge participation conditions. Next follows the data used - the SEMAINE corpus - and its partitioning into train, development, and test partitions for the challenge with labelling in four dimensions, namely activity, expectation, power, and valence. Further, audio and video baseline features are introduced as well as baseline results that use these features for the three sub-challenges of audio, video, and audiovisual emotion recognition.

关键词： Audiovisual Emotion Recognition Speech Emotion Recognition Facial Expression analysis Challenge

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Multidimensional visualization Techniques for Microarray data

Multidimensional Visualization Techniques for Microarray Dat...

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International conference on Information visualisation (IV)

作者： Urska Cvek Marjan Trutschl Phillip C. Kilgore Randolph Stone ii John L. Clifford Center of Molecular and Tumor Virology LSU Health Sciences Center Shreveport USA Department of Computer Science LSU Shreveport USA

analysis of high-dimensional micro array expression data is based mostly on the statistical approaches that are indispensable for the study of biological systems. To aid the analysis and exploration of such data, the process of analyzing such data is often enhanced with visual, data mining and other computational techniques. We utilize a set of tools for the visual analysis of data aimed at generating the hypotheses. We show the usability of classic and novel multi-dimensional visualization tools in life sciences. Additionally, we survey and show several multidimensional visualization tools applied to the process of data exploration using a urothelial cell carcinoma of the bladder time course. These tools have the potential of uncovering non-trivial relationships and structures in the data.

关键词： data visualization Three dimensional displays visualization Image color analysis Springs data mining Bladder

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Boosting multi-feature visual texture classifiers for the authentication of Jackson Pollock's drip paintings

Boosting multi-feature visual texture classifiers for the au...

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conference on Computer Vision and Image analysis of Art ii

作者： Al-Ayyoub, Mahmoud Irfan, Mohammad T. Stork, David G. Ricoh Innovat 2882 Sand Hill Rd Suite 115 Menlo Pk CA 94025 USA SUNY Stony Brook Dept Comp Sci Stony Brook NY 11794 USA

ISBN: (纸本)9780819484062

Early attempts at authentication Jackson Pollock's drip paintings based on computer image analysis were restricted to a single "fractal" or "multi-fractal" visual feature, and achieved classification nearly indistinguishable from chance. Irfan and Stork pointed out that such Pollock authentication is an instance of visual texture recognition, a large discipline that universally relies on multiple visual features, and showed that modest, but statistically significant improvement in recognition accuracy can be achieved through the use of multiple features. Our work here extends such multi-feature classification by training on more image data and images of higher resolution of both genuine Pollocks and fakes. We exploit methods for feature extraction, feature selection and classifier techniques commonly used in pattern recognition research including Support Vector Machines (SVM), decision trees (DT), and AdaBoost. We extract features from the fractality, multifractality, pink noise patterns, topological genus, and curvature properties of the images of candidate paintings, and address learning issues that have arisen due to the small number of examples. In our experiments, we found that the unmodified classifiers like Support Vector Machines or Decision Tree alone give low accuracies (60%), but that statistical boosting through AdaBoost leads to accuracies of nearly 75%. Thus, although our set of observations is very small, we conclude that boosting methods can improve the accuracy of multi-feature classification of Pollock's drip paintings.

关键词： Jackson Pollock drip painting analysis machine learning pattern recognition texture recognition image processing fractal analysis multi-fractal analysis AdaBoost

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Query-based coordinated multiple views with Feature Similarity Space for visual analysis of MRI repositories

Query-based coordinated multiple views with Feature Similari...

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2nd IEEE conference on visual Analytics Science and Technology 2011, VAST 2011

作者： Bowman, Ian Joshi, Shantanu H. Van Horn, John Darrell Laboratory of Neuro Imaging University of California Los Angeles CA 90034 United States

ISBN: (纸本)9781467300131

It is a laborious process to quantify relationship patterns within a feature-rich archive. For example, understanding the degree of neuroanatomical similarity between the scanned subjects of a Magnetic Resonance Imaging (MRI) repository is a nontrivial task. In this work we present a Coordinated Multiple View (CMV) system for visually analyzing collections of feature-rich datasets. A query-based user interface operates on a feature-respective data scheme, and is geared towards domain experts that are non-specialists in informatics and analytics. We employ multi-dimensional scaling (MDS) to project feature surface representations into three-dimensions, where proximity in location is proportional to the feature similarity. Through query feedback and environment navigation, the user groups clusters that exhibit probable trends across feature and attribute. The system provides supervised classification methods for determining attribute classes within the user selected groups. Finally, using visual or analytical feature-wise exploration the user determines intra-group feature commonality. © 2011 IEEE.

关键词： Magnetic resonance imaging

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RNA2DMap: A visual exploration Tool of the Information in RNA's Higher-Order Structure

RNA2DMap: A Visual Exploration Tool of the Information in RN...

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IEEE International conference on Bioinformatics and Biomedicine (BIBM)

作者： Xu, Weijia Wongsa, Ame Lee, Jung Shang, Lei Cannone, Jamie J. Gutell, Robin R. Univ Texas Austin Texas Adv Comp Ctr Austin TX 78712 USA Univ Texas Austin Sch Informat Austin TX 78712 USA Univ Texas Austin Inst Cellular & Mol Biol Austin TX 78712 USA

ISBN: (纸本)9780769545745

A new and emerging paradigm in molecular biology is revealing that RNA is implicated in nearly every aspect of the metabolism in the cell. To enhance our understanding of the function of these RNA molecules in the cell, it is essential that we have a complete understanding of their higher-order structures. While many computational tools have been developed to predict and analyse these higher-order RNA structures, few are able to visualize them for analytical purposes. In this paper, we present an interactive visualization tool of the secondary structure of RNA, named RNA2DMap. This program enables multiple-dimensions of information about RNA structure to be selected, customized and displayed to visually identify patterns and relationships. RNA2DMap facilitates the comparative analysis and understanding of RNAs that cannot be readily obtained with other graphical or text output from computer programs. Three use cases are presented to illustrate how RNA2DMap aids structural analysis.

关键词： Biological data Visulation RNA Struaral analysis Interative Application

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visual exploration of time-oriented patient data for chronic diseases: Design study and evaluation

Visual exploration of time-oriented patient data for chronic...

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7th conference of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2011

作者： Rind, Alexander Aigner, Wolfgang Miksch, Silvia Wiltner, Sylvia Pohl, Margit Turic, Thomas Drexler, Felix Institute of Software Technology and Interactive Systems Vienna University of Technology Austria Research Group Human Computer Interaction Vienna University of Technology Austria Department of Information and Knowledge Engineering Danube University Krems Austria Landesklinikum Krems Austria

ISBN: (纸本)9783642253638

Medical care, particularly for chronic diseases, accumulates a huge amount of patient data over extensive time periods that needs to be accessed and analyzed accordingly. Information visualization methods hold great promises in turning data deluge into improved quality of medical care. Yet, patient data management systems mostly provide documents, form-based displays, or static visualizations. We present a design study of an interactive visualization system, called VisuExplore, to support long-term care and medical analysis of patients with chronic diseases. VisuExplore offers interaction techniques for effective exploration of time-oriented data and employs simple, but intuitive visualization techniques. It was developed in close cooperation with physicians. We conducted two user studies with nine physicians and 16 students, which indicate that our design is useful and appropriate for particular tasks. © 2011 Springer-Verlag Berlin.

关键词： Medical information systems

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Subjective Assessment of Women's Pants' Fit analysis Using Live and 3D Models

Subjective Assessment of Women's Pants' Fit Analysis Using L...

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International conference on Intelligent Computing and Information Science

作者： Zhang, Linli Zhang, Weiyuan Xiao, Hong Donghua Univ Fash Inst Shanghai 200051 Peoples R China Xi An Polytech Univ Apparel & Art Design Coll Xian 710048 Peoples R China

ISBN: (纸本)9783642181337

This paper investigated the validity of three-dimensional scans as a tool for visual fit analysis. We used traditional live models and three dimensional scans to compare the fit assess on women pant. Results from different areas of pant showed different levels of accuracy. In the waistband, upper hip and hip area, the results were more accurate while the crotch and side seam were not.

关键词： Three-dimensional scan data fit subjective analysis

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