'Similarity measurement' presentation slideshows

Semantic Similarity Measurement and Geographic Applications Similarity approaches

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Semantic Similarity Measurement and Geographic Applications Introduction

Semantic Similarity Measurement and Geographic Applications Introduction. Dr. Martin Raubal Department of Geography, UCSB raubal@geog.ucsb.edu. Overview. Instructor Organization Goals Schedule Introduction to the topic. Instructor.

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???? ?????. IQA Image Quality Assessment. Introduction. Goal : develop quantitative measures that can automatically predict perceived image quality. 1- can be used to dynamically monitor 2- can be used to optimize algorithms and parameter settings 3- can be used

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Clustering over Multiple Evolving Streams by Events and Correlations

Clustering over Multiple Evolving Streams by Events and Correlations. Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen Electrical Engineering, National Taiwan University IEEE Transaction on Knowledge and Data Engineering (TKDE) 2007. Outline. Introduction Data Summarization Similarity Measurement

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Backward Machine Transliteration by Learning Phonetic Similarity

Backward Machine Transliteration by Learning Phonetic Similarity. Advisor ? Dr. Hsu Presenter ? Chien Shing Chen Author: Wei-Hao Lin and Hsin-His Chen. PRESENTED AT SIXTH CONFERENCE ON NATURAL LANGUAGE LEARNING, TAIPEI, TAIWAN,2002. Outline. Motivation Objective Introduction

453 views • 24 slides

Backward Machine Transliteration by Learning Phonetic Similarity

Backward Machine Transliteration by Learning Phonetic Similarity. Advisor ? Dr. Hsu Presenter ? Chien Shing Chen Author: Wei-Hao Lin and Hsin-His Chen. PRESENTED AT SIXTH CONFERENCE ON NATURAL LANGUAGE LEARNING, TAIPEI, TAIWAN,2002. Outline. Motivation Objective Introduction

252 views • 24 slides

Outline

Content-Based Image Retrieval Using Grey Relational Analysis Dept. of Computer Engineering Tatung University Presenter: Tienwei Tsai ( ??? ). Outline. Introduction Feature Extraction Color Space Transformation Discrete Cosine Transform (DCT) Similarity Measurement Problem Description

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Similarity Measure Based on Partial Information of Time Series

Similarity Measure Based on Partial Information of Time Series. Advisor ? Dr. Hsu Graduate ? You-Cheng Chen Author ? Xiaoming Jin Yuchang Lu Chunyi Shi. Outline. Motivation Objective Introduction Retrieval and Representation of partial Information

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Chemical Diversity

Chemical Diversity. Qualify and/or quantify the extent of variety within a set of compounds. Try to define the extent of chemical space. In combinatorial chemistry, we are interested in the diversity of a library. Example 1 : here we are looking at compounds that can possess up

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Urban Point-of-Interest Recommendation by Mining User Check-in Behaviors

Urban Point-of-Interest Recommendation by Mining User Check-in Behaviors. ??? 2012.12.5. Outline. Authors Introduction UPOI Mine Algorithm Experimental Results and Discussions. Authors. Josh Jia-Ching Ying, Eric Hsueh -Chan Lu, Wen- Ning Kuo and Vincent S. Tseng

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A Method for Comparing Self-Organizing Maps: Case Studies of Banking and Linguistic Data

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A Perceptual Shape Descriptor

A Perceptual Shape Descriptor. Nafiz ARICA, Fato? T. YARMAN-VURAL METU, Department of Computer Engineering {nafiz, vural}@ceng.metu.edu.tr. BAS : A shape Descriptor with Beam Angle Statistics. Represents each boundary point with the statistics of the beam angles in a set of neighborhood ,

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An Efficient Video Similarity Search Algorithm

An Efficient Video Similarity Search Algorithm. Chittampally Vasanth Raja vasanthexperiments.wordpress.com. Introduction. With the rapid development of modern electronic equipment, the amount of multimedia data is increasing tremendously.

263 views • 14 slides