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Title: An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning
Page Link: An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning -
Posted By: seminar details
Created at: Friday 08th of June 2012 03:32:30 PM
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An Efficient K-Means Cluster Based Image Retrieval Algorithm using Learning: An Innovative Approach from Relevance Feedback




INTRODUCTION

content-based image retrieval has been an active
research area in recent years. The interest in this
research area has inspired from the need to search
and well manage large volumes of Multimedia
information . CBIR extracts low-level features
which is Inbuilt in the images to present the contents of
images. E ....etc

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Title: implementation of bankers algorithm and new request algorithm in java
Page Link: implementation of bankers algorithm and new request algorithm in java -
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Created at: Wednesday 31st of October 2012 01:42:44 AM
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Title: matlab code for image deblurring using backpropagation neural network
Page Link: matlab code for image deblurring using backpropagation neural network -
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Created at: Saturday 29th of December 2012 12:38:13 AM
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Title: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio
Page Link: Learning a Propagable Graph for Semisupervised Learning Classification and Regressio -
Posted By: Projects9
Created at: Monday 23rd of January 2012 06:12:54 PM
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Abstract—In this paper, we present a novel framework, called learning by propagability, for two essential data mining tasks, i.e., classification and regression. The whole learning process is driven by the philosophy that the data labels and the optimal feature representation jointly constitute a harmonic system, where the data labels are invariant with respect to the propagation on the similarity graph constructed based on the optimal feature representation. Based on this philosophy, a unified framework of learning by propagability is propos ....etc

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Title: developing an algorithm for data mining using clustering genetic algorithm at c
Page Link: developing an algorithm for data mining using clustering genetic algorithm at c -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:33:37 PM
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developing an algorithm for data mining using clustering genetic algorithm at c++



With an enormous amount of data stored in databases and data warehouses, it is increasingly important to develop powerful tools for analysis of such data and mining interesting knowledge from it. Data mining is more than slicing and dicing of data; it is a powerful business intelligence technology that provides knowledge about unknown patterns and events from large databases. Data mining technologies have known to significantly reduce operational costs and ....etc

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Title: code for job scheduling algorithm using aco algorithm in java
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Created at: Friday 11th of January 2013 10:21:21 PM
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Title: matlab code for image compression using backpropagation
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Created at: Sunday 25th of November 2012 02:39:40 PM
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Title: implement both virtual force algorithm and voronoi based algorithm ppt
Page Link: implement both virtual force algorithm and voronoi based algorithm ppt -
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Created at: Saturday 20th of April 2013 11:40:55 PM
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Title: E-Learning Learning Through Internet
Page Link: E-Learning Learning Through Internet -
Posted By: project topics
Created at: Friday 02nd of April 2010 06:16:20 PM
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Abstract:
This paper presents an approach for integrating e-learning with the traditional education system. A conceptual map is then created for this integration leading to a functional model for open and flexible learning. In the proposed integration, convergence of CD-based, class based and web based education in recommended and architecture to achieve this convergence is presented. In order to transform the existing schools, colleges and universities into digital campuses, an inclusive system architecture is designed for digital campus. A c ....etc

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Title: Backpropagation Algorithm
Page Link: Backpropagation Algorithm -
Posted By: project uploader
Created at: Saturday 11th of February 2012 06:13:40 PM
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Backpropagation Algorithm
Basic Neuron Model In A Feedforward Network
Inputs xi arrive through pre-synaptic connections
Synaptic efficacy is modeled using real weights wi
The response of the neuron is a nonlinear function f of its weighted inputs
Differences In Networks
Feedforward Networks
Solutions are known
Weights are learned
Evolves in the weight space
Used for:
Prediction
Classification
Function approximation
Feedback Networks
Solutions are unknown
Weights are prescribed
Evolves in the state space
U ....etc

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