Document Details

Document Type : Article In Conference 
Document Title :
Latent Semantic Indexing Using Multiresolution Analysis
Latent Semantic Indexing Using Multiresolution Analysis
 
Subject : Information Retrieval using image processing transforms 
Document Language : English 
Abstract : Latent semantic indexing (LSI) is commonly used to match queries to documents in information retrieval (IR) applications. It has been shown to improve the retrieval performance, as it can deal with synonymy and polysemy problems. This paper proposes a hybrid approach which can improve result accuracy significantly. Evaluation of the approach based on using the Haar wavelet transform (HWT) as a preprocessing step for the singular value decomposition (SVD) in the LSI system is presented, using Donoho's thresholding with the transformation in HWT. Furthermore, the effect of different levels of decomposition in the HWT process is investigated. The experimental results presented in the paper confirm a significant improvement in performance by applying the HWT as a preprocessing step using Donoho's thresholding. 
Conference Name : International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), 5-7 March 2011, Algarve, Portugal. 
Duration : From : 30/3/1432 AH - To : 2/4/1432 AH
From : 5/3/2011 AD - To : 7/3/2011 AD 
Publishing Year : 1432 AH
2011 AD 
Number Of Pages : 00 
Article Type : Article 
Conference Place : Algarve, Portugal 
Added Date : Sunday, July 1, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
طارق جبرJaber, Tareq Investigator Tjaber1@kau.edu.sa
Abbes AmiraAmira, Abbes Researcher a.amira@ulster.ac.uk
Peter MilliganMilligan, Peter Researcher p.milligan@qub.ac.uk

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