'Dimensional data' diaporamas de présentation

Foundations of Computer Vision Lecture 13

Foundations of Computer Vision Lecture 13. Roger S. Gaborski. 1. Color Segmentation. RGB Color Image M x N x 3 array of color pixels The three planes correspond to red , green and blue values. Each pixel location is actually a triplet, (r, g, b)

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Biologically Inspired Intelligent Systems

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Chapter 34

Chapter 34. OLAP Transparencies. Chapter 34 - Objectives. The purpose of Online Analytical Processing (OLAP). The relationship between OLAP and data warehousing. The key features of OLAP applications. Chapter 34 - Objectives. How to represent multi-dimensional data.

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Range and kNN Searching in P2P

Range and kNN Searching in P2P. Manesh Subhash Ni Yuan Sun Chong. Outline. Range query searching in P2P one dimension range query multi-dimension range query comparison of range query searching in P2P kNN searching in P2P scalable nearest neighbor searching PierSearch

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Big Data Visual Analytics: Challenges and Opportunities

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Big Data Visual Analytics: Challenges and Opportunities

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OS Support / Indexing

OS Support / Indexing. Lecture 3. Query Execution. Query or update. User/ Application. Query compiler. Query execution plan. Execution engine. Record, index requests. Index/record mgr. Page commands. Buffer manager. Read/write pages. Storage manager.

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Data Warehousing/Mining Comp 150 Data Warehousing Design (not in book)

Data Warehousing/Mining Comp 150 Data Warehousing Design (not in book). Instructor: Dan Hebert. Warehouse Design. What to materialize in the warehouse Which source data? Which summary tables? Which indices? Influenced by both querying and maintenance

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Presented by: Sailesh Kumar

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The Dynamics of Learning Vector Quantization

The Dynamics of Learning Vector Quantization. Barbara Hammer. Michael Biehl, Anarta Ghosh. TU Clausthal-Zellerfeld Institute of Computing Science. Rijksuniversiteit Groningen Mathematics and Computing Science. The dynamics of learning. a model situation: randomized data

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Institute for Infrastructure Surety IFIS ece.unm/ifis

Institute for Infrastructure Surety IFIS www.ece.unm.edu/ifis. Professor Edl Schamiloglu Director Department of Electrical and Computer Engineering University of New Mexico Albuquerque, NM 87131 505/277-4423 edl@ece.unm.edu. The Need for this Institute.

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OPTIMIZING THE SELF-ORGANIZING MAP FOR PATTERN AND IMAGE CLASSIFICATION

OPTIMIZING THE SELF-ORGANIZING MAP FOR PATTERN AND IMAGE CLASSIFICATION. C. C. Hung, H. Ijaz, E. Jung, and B.-C. Kuo #. School of Computing and Software Engineering Southern Polytechnic State University, Marietta, Georgia USA

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Image Classification: Features, Algorithms or Data?

Image Classification: Features, Algorithms or Data?. Devi Parikh and Larry Zitnick. Computer Vision: Visual Recognition. Scene recognition Object recognition Object detection. WINDOWS. CAR. STREET. Computer Vision: Visual Recognition. Scene recognition Object recognition

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Dynamic Quick View, interoperability and the future

Dynamic Quick View, interoperability and the future. Jon Blower, Keith Haines, Chunlei Liu, Alastair Gemmell Environmental Systems Science Centre University of Reading United Kingdom. Introduction. We have developed an interactive website and map server for data visualization

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Erroneous Distribution Data Identification Using Outlier Detection Techniques

Erroneous Distribution Data Identification Using Outlier Detection Techniques. W. Zhuang, Y. Zhang, J.F. Grassle Rutgers, the State University of New Jersey, USA. Overview. Review of OBIS DQ-issues Review of existing DQ methods Case study: d etecting outliers in multidimensional data

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Feature Based Similarity

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The information architecture of the organization

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Valerio Pascucci Director, CEDMAV

Massive Data Management, Analysis, and Visualization: Scaling From Handheld Devices to Supercomputers. Valerio Pascucci Director, CEDMAV Professor, SCI Institute & School of Computing Laboratory Fellow, PNNL. Center for Extreme Data Management, Analysis and Visualization. Mission.

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Air Quality Data Services: Application of OGC specifications

IN43B-09. Application of OGC Specifications to Air Quality Information Systems Center for Air Pollution Impact and Trend Analysis (CAPITA) Washington University in St. Louis Contacts: Stefan Falke (stefan@wustl.edu), Rudolf Husar (rhusar@me.wustl.edu).

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