'Incremental update' diaporamas de présentation

Advanced Computer Vision Chapter 8

Advanced Computer Vision Chapter 8. Dense Motion Estimation Presented by ??? and ????? Cell phone: 0921330647 E-mail: r99922016@ntu.edu.tw. 8.1 Translational Alignment. The simplest way: shift one image relative to the other

1.17k views • 95 slides

Name Lookup in Named Data Networking(NDN)

965 views • 60 slides

Spatial and Temporal Data Mining

Spatial and Temporal Data Mining. Clustering II. Vasileios Megalooikonomou. (based on notes by Jiawei Han and Micheline Kamber). Agenda. What is Cluster Analysis? Types of Data in Cluster Analysis A Categorization of Major Clustering Methods Partitioning Methods Hierarchical Methods

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DEV217 Introducing Visual Studio Team Edition for Database Professionals

DEV217 Introducing Visual Studio Team Edition for Database Professionals. Thomas Murphy tmurphy@microsoft.com Group Program Manager Microsoft Corporation. Matt Nunn mattnunn@microsoft.com Sr. Product Manager Microsoft Corporation. Agenda. Managing Database Change Where is the Truth?

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A Novel Scalable IPv6 Lookup Scheme Using Compressed Pipelined Tries

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1 Princeton University 3 Microsoft Research 5 National University of Athens

A System for High-Volume Acquisition and Matching of Fresco Fragments Reassembling Theran Wall Paintings. Benedict Brown 1,2 , Corey Toler-Franklin 1 , Diego Nehab 1,3 , Michael Burns 1 , Andreas Vlachopoulos 4 , Christos Doumas 4,5 , David Dobkin 1 , Szymon Rusinkiewicz 1 , Tim Weyrich 1,6.

440 views • 31 slides

HTTP and the Dynamic Web

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Fast and deterministic hash table lookup using discriminative bloom filters

Fast and deterministic hash table lookup using discriminative bloom filters. Author: Kun Huang, Gaogang Xie , Publisher : 2013 ELSEVIER Journal of Network and Computer Applications Presenter: Yuen- Shuo Li Date : 2013/06/26. Introduction. Hash table

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Very Large-Scale Incremental Clustering

Very Large-Scale Incremental Clustering . Berk Berker Mumin Cebe Ismet Zeki Yalniz 27 March 2007. Table of Contents. Why Clustering? Why Incremental Clustering? Related Work Incremental C3M (C2ICM) A Former Implementation of C2ICM for very large datasets Conclusion. Why clustering ?.

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Routing in Ad Hoc Networks

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Reducing Routing Table Size Using Ternary-CAM

Reducing Routing Table Size Using Ternary-CAM. Hot Interconnect 9 Aug. 22, 2001. Huan Liu Department of Electrical Engineering Stanford University huanliu@stanford.edu http://www.stanford.edu/~huanliu. Longest prefix matching (LPM). Destination IP address. 192.168.10.1.

386 views • 23 slides

Data Integration & Warehousing

Data Integration & Warehousing. WPI, Mohamed eltabakh. Harnessing Big Data. Synthesized Information. Order Management Application. Financial Application. CRM Application. Shipping and Distribution Application. Contract Management Application. Data Integration. Motivation

188 views • 17 slides

How and why to document data for long-term storage; and What's special about Geographical data?

How and why to document data for long-term storage; and What's special about Geographical data?. Allan Reese Cefas Weymouth. Cefas buildings. Weymouth. Burnham-on-Crouch. Fish farms in E&W. Fish disease. Spring Viremia of Carp Virus. Causes and progress of infection

283 views • 16 slides

CMDB in Snow Issues with data synchronisation

336 views • 13 slides