'Classification techniques' diaporamas de présentation

Posters Students 2

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Direction-Adaptive KLT for Image Compression

Direction-Adaptive KLT for Image Compression. Vinay Raj Hampapur Wendy Ni Stanford University March 8, 2011. Outline. Motivation Description of our method Results and comparisons Achievements Future work Acknowledgement References. Motivation - I. General transforms

564 views • 38 slides

Direction-Adaptive KLT for Image Compression

Direction-Adaptive KLT for Image Compression. Vinay Raj Hampapur Wendy Ni Stanford University March 8, 2011. Outline. Motivation Description of our method Results and comparisons Achievements Future work Acknowledgement References. Motivation - I. General transforms

571 views • 38 slides

Paul Cote Lecturer in Landscape Architecture / Urban Planning

Exploring 30 Years of Land Use Change: Landsat Time Series Images and Simple Image Classification Techniques. Paul Cote Lecturer in Landscape Architecture / Urban Planning. 500 Design Students. 250 Architecture 50 Urban Planning 100 Urban Design 100 Landscape. A Representation Engine.

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Lesson: Remote sensing imagery

Module: Data Acquisition and data interpretation. Lesson: Remote sensing imagery. Zirek Malikova OShTU, Software Engineering Department zirek.malicova@mail.ru. Objectives:. Definition of remote sensing. Basics of remote sensing. Remote sensing software. Tasks for students . References.

517 views • 19 slides

Gabriela Moise, Monica Vladoiu, Zoran Constantinescu

GC-MAS - a Multiagent System for Building Creative Groups used in Computer Supported Collaborative Learning. Gabriela Moise, Monica Vladoiu, Zoran Constantinescu . Subject. method for building creative teams, based on unsupervised learning and with support from a multiagent system

307 views • 19 slides

Continuous Attributes: Computing GINI Index / 2

Continuous Attributes: Computing GINI Index / 2. Measure of Impurity: Entropy. Computing Entropy of a Single Node. Computing information Gain After Splitting. Problems with Information Gain. Gain Ratio. Measure of Impurity: Classification Error. Computing Error of a Single Node.

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LOSS ESTIMATION IN LV CIRCUITS USING INTELLIGENT TECHNIQUES - THE RGE EXPERIENCE

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Data Mining:Classification

Data Mining:Classification. Developed by: Dr Eddie Ip Modified by: Dr Arif Ansari. Classification Outline. Goal: Provide an overview of the classification problem and introduce some of the basic algorithms. Classification Problem Overview Classification Techniques Regression Distance

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