Document Details
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Document Type |
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Article In Conference |
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Document Title |
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Latent Semantic Indexing Using Multiresolution Analysis Latent Semantic Indexing Using Multiresolution Analysis |
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Subject |
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Information Retrieval using image processing transforms |
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Document Language |
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English |
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Abstract |
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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. |
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Conference Name |
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International Conference on Pervasive and Embedded Computing and Communication Systems (PECCS), 5-7 March 2011, Algarve, Portugal. |
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Duration |
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From : 30/3/1432 AH - To : 2/4/1432 AH
From : 5/3/2011 AD - To : 7/3/2011 AD |
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Publishing Year |
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1432 AH
2011 AD |
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Number Of Pages |
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00 |
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Article Type |
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Article |
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Conference Place |
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Algarve, Portugal |
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Added Date |
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Sunday, July 1, 2012 |
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Researchers
| 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 |
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