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Title: self organizing maps full report
Page Link: self organizing maps full report -
Posted By: computer science technology
Created at: Thursday 21st of January 2010 08:56:40 PM
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Unsupervised Neural Networks
ABSTRACT
Self organizing maps are generally used in many fields like bio-informatics, neural networks¦.It is basically used for the grouping of data. In decision making we reach a conclusion by making certain tests to the input given to the system. We will study the outputs obtained by the tests and reach a solution. Consider a decision making system which checks whether a cloth is wet or not. If we give the parameters of cloth we need to know whether it ....etc

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Title: Self Organizing Maps
Page Link: Self Organizing Maps -
Posted By: computer science crazy
Created at: Monday 22nd of September 2008 12:15:52 PM
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Definition

These notes provide an introduction to unsupervised neural networks, in particular Kohonen self-organizing maps; together with some fundamental background material on statistical pattern recognition.

One question which seems to puzzle many of those who encounter unsupervised learning for the first time is how can anything useful be achieved when input information is simply poured into a black box with no provision of any rules as to how this information should be stored, or examples of the various groups into which this informa ....etc

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Title: Mixing Shadows into Video Imagery full report
Page Link: Mixing Shadows into Video Imagery full report -
Posted By: project topics
Created at: Friday 02nd of April 2010 01:49:08 AM
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1 - INTRODUCTION

This project investigates the working of a foreground segmentation algorithm that will be used to extract moving foreground objects from a video. The video will be shot with a standard digital camera in a controlled environment. The resulting video from the extraction process will contain a silhouette that tracks the foreground objectsâ„¢ movements. The objectives for the project are to research a practical algorithm, implement the algorithm, and finally, apply filtering techniques to the extracted foreground to reduce ....etc

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Title: Self Organizing Maps
Page Link: Self Organizing Maps -
Posted By: computer science crazy
Created at: Wednesday 08th of April 2009 01:13:21 PM
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Definition

These notes provide an introduction to unsupervised neural networks, in particular Kohonen self-organizing maps; together with some fundamental background material on statistical pattern recognition.

One question which seems to puzzle many of those who encounter unsupervised learning for the first time is how can anything useful be achieved when input information is simply poured into a black box with no provision of any rules as to how this information should be stored, or examples of the various groups into which this informa ....etc

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Title: Information Management and Representation Using Topic Maps
Page Link: Information Management and Representation Using Topic Maps -
Posted By: nit_cal
Created at: Saturday 31st of October 2009 06:05:03 PM
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This project aims to create a Topic Map for FIFA World Cup 2006.

Creating the topic map for the FIFA world cup 2006.
Representing the resulting topic map in order to make the data and information available for the users.

Information Management and Representation Using Topic Maps ....etc

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Title: Mobile Satellite Imagery
Page Link: Mobile Satellite Imagery -
Posted By: project topics
Created at: Thursday 04th of August 2011 05:58:05 PM
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Mobile Satellite Imagery. Satellite imagery can be obtained from a variety of sources online. (Example: world,midwest, campus). Build in imagery support for TeamTrak. Start by modifying TeamTrak to load a single image from disk, and then scale and display it in the proper place, according to the user's current location. Once that works, then modify the code to download and display new images as the user's position changes. ....etc

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Title: Building Detection from Aerial Imagery
Page Link: Building Detection from Aerial Imagery -
Posted By: nit_cal
Created at: Thursday 29th of October 2009 04:31:38 PM
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Abstract
This project implements an approach for automatic building detection from aerial imagery. The whole process of building detection is divided into three small stages of line extraction, line-relation-graph generation and building outline generation. Robustness has been achieved by considering only the mathematical and geometric relations between lines (represented by the end points) in the course of generating building outline. Graph structure was used for building outline generation because the use of graph structur ....etc

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Title: 24 LEDs which are rapidly rotating and thus imagery
Page Link: 24 LEDs which are rapidly rotating and thus imagery -
Posted By: project topics
Created at: Tuesday 26th of April 2011 05:21:38 PM
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By a row (eg 24) LEDs fast spin at the right time and the individual LEDs on and off can make an image formed. This command is an extension of a project last year, with a hand made clock was built by a row of LEDs. The intention is now to provide a communication between the sash and the environment, different patterns can be read. The PC must have written a simple program that can convert a bitmap to control signals to LEDs. An additional challenge is different intensities for the LEDs to provide, eg through a revolution the LEDs to burn and th ....etc

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Title: 24 LEDs that rotate and thus imagery guided by tilt sensor
Page Link: 24 LEDs that rotate and thus imagery guided by tilt sensor -
Posted By: project topics
Created at: Tuesday 26th of April 2011 05:30:04 PM
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By a row (eg 24) LEDs allow quick turn around an image can be formed. The rotational speed is not constant, but need to ensure that the picture remains the same at variable speeds. The PC must be a bitmap can be loaded with 4 'grayscale'. The LEDs on a larger radius need to work harder to burn the light intensity uniform ....etc

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Title: Why Use Hyperspectral Imagery
Page Link: Why Use Hyperspectral Imagery -
Posted By: seminar details
Created at: Wednesday 06th of June 2012 04:57:56 PM
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Why Use Hyperspectral Imagery



Introduction

While multispectral images have

been in regular use since the 1970s,

the widespread use of hyperspectral

images is a relatively recent trend.

Hyperspectral imaging, also known as im-

aging spectrometry, is now a reasonably fa-

Wmiliar concept in the world of remote sensing.

However, for many remote sensing specialists who

have not yet had the opp ....etc

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