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Planar point location -- example

Planar point location -- example

Planar point location -- example. Planar point location & persistence (cont). Updates should be persistent since we need all search trees at the end. Partial persistence is enough. Well, we already have the path copying method, lets use it. What do we get ?.

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460 views • 45 slides
Planar point location -- example

Planar point location -- example

Planar point location -- example. Planar point location & persistence (cont). Updates should be persistent since we need all search trees at the end. Partial persistence is enough. Well, we already have the path copying method, lets use it. What do we get ?.

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578 views • 42 slides
High Level Language: Pig Latin

High Level Language: Pig Latin

High Level Language: Pig Latin. Hui Li Judy Qiu. Some material adapted from slides by Adam Kawa the 3 rd meeting of WHUG June 21, 2012. What is Pig. Framework for analyzing large un-structured and semi-structured data on top of Hadoop.

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628 views • 36 slides
LEARNING VECTOR QUANTIZATION Presentation By : Mihajlo Grbovic

LEARNING VECTOR QUANTIZATION Presentation By : Mihajlo Grbovic

LEARNING VECTOR QUANTIZATION Presentation By : Mihajlo Grbovic. Learning Vector Quantization. INTRODUCTION. Learning Vector Quantization (LVQ) has been introduced by Kohonen as a simple, universal and efficient learning classifier.

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591 views • 24 slides
The Kalman Filter: A Study of Covariances

The Kalman Filter: A Study of Covariances

David Wheeler Kyle Ingersoll EcEn 670. The Kalman Filter: A Study of Covariances. A Comparison between Analytical and Simulated Results. December 5, 2013. Kalman Overview:. Predict (P) Forward One Step. P. P. P. P. P. P. P. P. U. U. U. Common Applications 1 :

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399 views • 21 slides
System Identification of Nonlinear State-Space Battery Models

System Identification of Nonlinear State-Space Battery Models

ASMC 663 End-Of-Semester Presentation . System Identification of Nonlinear State-Space Battery Models. Wei He Department of Mechanical Engineering weihe@calce.umd.edu Course Advisor: Prof. Balan , Prof. Ide Research Advisor: Dr. Chaochao Chen Dec. 11 2012. Background.

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430 views • 19 slides
Approximate Counting of Cycles in Streams

Approximate Counting of Cycles in Streams

Approximate Counting of Cycles in Streams. He Sun Max Planck Institute for Informatics Joint work with Madhusudan Manjunath , Kurt Mehlhorn and Konstantinos Panagiotou. Sub-graph Counting. Given a graph G=(V,E) with n nodes and m edges and a small graph H with

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278 views • 17 slides
MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

But skipping this update step at decoder leads to significant quality degradation at high bit-rates. Synthesis with Update Step. Synthesis without Update Step. 41. with update. with pp. 40.5. no pp. 40. 39.5. luminance PSNR in dB. 39. 38.5. 38. 37.5. 700. 750. 800. 850. 900.

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102 views • 1 slides
MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

MAX PLANCK CENTER FOR VISUAL COMPUTING AND COMMUNICATION

Motivation. Heuristics for implementation. Heuristic 1: Scaled conventional update. L. +. +. X. It can be shown that if eigenvalues of are close then and hence. Error in sub-bands. Recons-truction error. -. H. Y.

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89 views • 1 slides

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