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检索条件"任意字段=Conference on Visualization and Data Analysis 2005"

共 611 条记录，以下是571-580 订阅

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An enhanced query model for soccer video retrieval using temporal relationships

An enhanced query model for soccer video retrieval using tem...

引用

International conference on data Engineering

作者： Shu-Ching Chen Mei-Ling Shyu Na Zhao School of Computer Science Florida International University Miami FL USA Department of Electrical & Computer Engineering University of Miami Coral Gables FL USA

ISBN: (纸本)0769522858

The focal goal of our research is to develop a general framework which can automatically analyze the sports video, detect the sports events, and finally offer an efficient and user-friendly system for sports video retrieval. In our earlier work, a novel multimedia data mining technique was proposed for automatic soccer event extraction by adopting multimodal feature analysis. Until now, this framework has been performed on the detection of goal and corner kick events and the results are quite impressive. Correspondingly, in this work, the detected video events are modeled and effectively stored in the database. A temporal query model is designed to satisfy the comprehensive temporal query requirements, and the corresponding graphical query language is developed. The advanced characteristics make our model particularly well suited for searching events in a large scale video database.

关键词： Event detection database languages data mining Computer science Authoring systems Indexing visualization Spatial databases Large-scale systems Video sequences

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A contextual model for semantic video structuring

A contextual model for semantic video structuring

引用

European Signal Processing conference (EUSIPCO)

作者： Bruno Janvier Eric Bruno Stephane Marchand-Maillet Thierry Pun Computer Science Department University of Geneva Geneva 4 Switzerland

The problem of semantic video structuring is vital for automated management of large video collections. The goal is to automatically extract from the raw data the inner structure of a video collection; so that a whole new range of applications to browse and search video collections can be derived out of this high-level segmentation. To reach this goal, we exploit techniques that consider the full spectrum of video content; it is fundamental to properly integrate technologies from the fields of computer vision, audio analysis, natural language processing and machine learning. In this paper, a multimodal feature vector providing a rich description of the audio, visual and text modalities is first constructed. Boosted Random Fields are then used to learn two types of relationships : between features and labels and between labels associated with various modalities for improved consistency of the results. The parameters of this enhanced model are found iteratively by using two successive stages of Boosting. We experimented using the TRECvid corpus and show results that validate the approach over existing studies.

关键词： visualization Semantics Context Frequency measurement Streaming media Hidden Markov models Context modeling

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The perception of business students at PUCMM of the use of collaborative learning using the BSCW as a tool

The perception of business students at PUCMM of the use of c...

引用

International conference on Information Technology Based Higher Education and Training, ITHET

作者： G. van der Linde Pontificia Universidad Catòlica Madre y Maestra Santo Domingo Dominica

The evaluation of classroom experiences that promote collaborative and active learning is very important in computer supported collaborative learning, CSCL. The purpose of this paper is to assess the perception of students of the use of collaborative learning tools. We combine the use of qualitative and quantitative methods and data in an educational setting that have both physical and computer-supported collaboration in a business class environment. In this paper we did an evaluation in three business courses on corporate strategy that took place throughout three academic terms. The study used a questionnaire with both open and closed questions and the statistics that were supplied by BSCW basic support for cooperative work platform. The results from our analysis allow us to reflect and draw conclusions on the changes of attitudes towards collaboration and learning in a mixed use setting of both physical and on line environments and the need for further studies of this experience.

关键词： Collaborative work Collaboration Collaborative tools Physics computing Statistics Knowledge management Decision making Problem-solving Education visualization

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Feature identification: a novel approach and a case study

Feature identification: a novel approach and a case study

引用

International conference on Software Maintenance (ICSM)

作者： G. Antoniol Y.-G. Gueheneuc RCOST University of Sannio Italy Départment de Génie Informatique École Polytechnique de Montréal Canada

Feature identification is a well-known technique to identify subsets of a program source code activated when exercising a functionality. Several approaches have been proposed to identify features. We present an approach to feature identification and comparison for large object-oriented multi-threaded programs using both static and dynamic data. We use processor emulation, knowledge filtering, and probabilistic ranking to overcome the difficulties of collecting dynamic data, i.e., imprecision and noise. We use model transformations to compare and to visualise identified features. We compare our approach with a naive approach and a concept analysis-based approach using a case study on a real-life large object-oriented multi-threaded program, Mozilla, to show the advantages of our approach. We also use the case study to compare processor emulation with statistical profiling.

关键词： Computer aided software engineering Object oriented modeling Software maintenance Emulation Filtering Performance analysis data structures Uniform resource locators visualization Software performance

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Choosing an Accurate Network Model using Domain analysis

Choosing an Accurate Network Model using Domain Analysis

引用

International conference on Parallel and Distributed Systems (ICPADS)

作者： A. Konrad B.Y. Zhao A.D. Joseph Mills College UC-Santa Barbara UC-Berkeley

Network link simulation is perhaps the most common method for evaluating application and network protocol designs. In modeling realistic networks, researchers face measurements whose characteristics experience non-stationarity (time variability) and complex patterns due to a number of factors, including both internal network elements and external events. In this paper we introduce a methodology we call domain analysis to quantify the accuracy of different models, and show how to use it to choose the best model for a given set of network characteristics. Our work seeks to aid network and application protocol developers in developing and choosing appropriate models for network simulation. We introduce our data preconditioning methodology for modelling non-stationary datasets, and present the new multiple states MTA model (MMTA). We show that it is better in capturing error burst statistics than classical models and more consistently accurate across different networks that our previous MTA model

关键词： Hidden Markov models Protocols Error correction Automatic repeat request Milling machines Educational institutions Time measurement data mining Digital audio players data visualization

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Cellular ants: combining ant-based clustering with cellular automata

Cellular ants: combining ant-based clustering with cellular ...

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International conference on Tools for Artificial Intelligence (ICTAI)

作者： A.V. Moere J.J. Clayden Key Centre of Design Computing & Cognition University of Sydney Australia

This paper proposes a novel data clustering algorithm, coined 'cellular ants', which combines principles of cellular automata and ant colony optimization algorithms to group similar multidimensional data objects within a two-dimensional grid. The proposed method assigns data objects to unique ants, which actively move around, leave pheromones and follow trails of similar ants. Cellular automata principles based on simple, discrete neighborhood densities determine an ant's directional movements, so that clusters emerge. The novel concept of 'positional swapping' organizes these clusters internally based on multi-dimensional data value similarity. As a result, shared cluster borders in grid space contain data objects that are nearby in parameter space. This method is algorithmically simple, as it is based on a few user-chosen variables and uses fixed discrete values instead of probability algorithms. This clustering technique is evaluated using several datasets, while its methodology and computational performance is compared to similar approaches

关键词： Clustering algorithms Partitioning algorithms data visualization data mining Multiagent systems Algorithm design and analysis Grid computing Cognition Ant colony optimization Multidimensional systems

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Feature selection for clustering problems: a hybrid algorithm that iterates between k-means and a Bayesian filter

Feature selection for clustering problems: a hybrid algorith...

引用

International conference on Hybrid Intelligent Systems (HIS)

作者： E.R. Hruschka T.F. Covoes N.F.F. Ebecken Federal University of São Carlos Brazil Catholic University of Santos Brazil COPPE Federal University of Rio de Janeiro Brazil

There are two fundamentally different approaches for feature selection: wrapper and filter. It is also possible to combine them, obtaining hybrid approaches. This paper describes a hybrid method for selecting relevant features in clustering problems. The proposed approach is based on the combination of the widely known k-means algorithm and a Bayesian filter, which is based on the Markov Blanket concept. Since the number of clusters and the subset of relevant features are usually inter-related, we propose a method that iterates between clustering (assuming that the number of clusters is not known a priori) and filtering. Experiments in a number of datasets show that the proposed approach allows selecting features that provide good partitions.

关键词： Clustering algorithms Bayesian methods Filters Clustering methods Filtering Supervised learning Text mining Gene expression data analysis data visualization

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Characterizing the evolution of class hierarchies

Characterizing the evolution of class hierarchies

引用

(CSMR) European conference on Software Maintenance and Reengineering

作者： T. Girba M. Lanza S. Ducasse Software Composition Group University of Bern Switzerland Faculty of Informatics University of Lugano Switzerland

Analyzing historical information can show how a software system evolved into its current state, which parts of the system are stable and which have changed more. However, historical analysis implies processing a vast amount of information making the interpretation of the results difficult. To address this issue, we introduce the notion of the history of source code artifacts as a first class entity and define measurements, which summarize the evolution of such entities. We use these measurements to define rules by which to detect different characteristics of the evolution of class hierarchies. Furthermore, we discuss the results we obtained by visualizing them using a polymetric view. We apply our approach on two large open source case studies and classify their class hierarchies based on their history.

关键词： History Information analysis Reverse engineering Open source software Stability Informatics Software systems Software measurement data visualization Stress

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Analyzing component-based systems using the self-organizing map

Analyzing component-based systems using the self-organizing ...

引用

Euromicro conference on Software Engineering and Advanced Applications (SEAA)

作者： H. Verta Nokia Research Center Finland

As the complexity of component-based systems grows and their life cycles shorten, managing and understanding the dynamics and operation of the system at runtime becomes evermore difficult and at the same time more important. It is essential for system engineers to gain comprehensive understanding on not only the static but also the dynamic structure of the system. In this paper, we suggest a novel approach for studying the dynamic structure of a component-based system using the self-organizing map. We extract information about the communication traffic of the system into execution traces. These traces are then parsed and the communication traffic stored into a communication matrix. This matrix is used to construct a self-organizing map to describe the dynamic communication structure of the system.

关键词： data mining Information analysis visualization Context Systems engineering and theory Simple object access protocol TCPIP Software engineering Application software

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analysis of potential benefits of arrival-departure procedures proposed for ORD

Analysis of potential benefits of arrival-departure procedur...

引用

conference on Digital Avionics Systems (DASC)

作者： R.H. Mayer H. Swancy MITRE Corporation Mclean VA USA Federal Aviation Administration Washington D.C. DC USA

On June 13, 2004 the Federal Aviation Administration (FAA) implemented a new procedure at Chicago O'Hare International Airport (ORD) that authorizes arrival-departure operations on intersecting runways 14R/27L with modified separation requirements at the runway intersection. The procedure is expected to recoup reductions in arrival and departure capacities associated with operations on these runways that resulted from discontinuing land-and-hold-short operations (LAHSO) in 2000 and reduce arrival and departure delays at ORD when the airport is operated in plan B configuration. This configuration is used about 10 percent of the time. This paper describes the background analysis of relevant operational metrics conducted to compare and evaluate candidate procedures for their relative benefits and to help select the most promising ones. It describes the model developed to quantify and visualize the airport's operations, the methodology used to validate model performance with ARTS data, and the Monte Carlo approach taken for comparing and evaluating capacity benefits of four candidate arrival-departure procedures.

关键词： Airports FAA Capacity planning Delay data visualization Subspace constraints Monte Carlo methods

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