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Faculty of Computing and Information Technology
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 Type
Dr Grade
Email
طارق جبر
Jaber, Tareq
Investigator
Tjaber1@kau.edu.sa
Abbes Amira
Amira, Abbes
Researcher
a.amira@ulster.ac.uk
Peter Milligan
Milligan, Peter
Researcher
p.milligan@qub.ac.uk
Files
File Name
Type
Description
33830.pdf
pdf
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