Document Details

Document Type : Article In Journal 
Document Title :
TDM Modeling and Evaluation of Different Domain Transforms for LSI
نمذجة مصفوفة (TDM) وتقييم محولات المجال المختلفة للفهرسة الدلالية الكامنة
 
Subject : Hybrid Information Retrieval approach using Image Processing Transform 
Document Language : English 
Abstract : Latent semantic indexing (LSI) is a popular technique used in information retrieval (IR) applications. This paper presents a novel evaluation strategy based on the use of image processing tools. The authors evaluate the use of the discrete cosine transform (DCT) and Cohen Daubechies Feauveau 9/7 (CDF9/7) wavelet transform as a preprocessing step for the singular value decomposition (SVD) step of the LSI system. In addition, the effect of different threshold types on the search results is examined. The results show that accuracy can be increased by applying both transforms as a preprocessing step, with better performance for the hard-threshold function. The choice of the best threshold value is a key factor in the transform process. This paper also describes the most effective structure for the database to facilitate efficient searching in the LSI system. 
ISSN : 0925-2312 
Journal Name : Elsevier Neurocomputing. 
Volume : 72 
Issue Number : 10-12 
Publishing Year : 1430 AH
2009 AD 
Article Type : Article 
Added Date : Sunday, July 1, 2012 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
طارق جبرJaber, Tareq Investigator tjaber01@qub.ac.uk
Abbes AmiraAmira, Abbes Researcher a.amira@ulster.ac.uk
Peter MilliganMilligan, Peter Researcher p.milligan@qub.ac.uk

Files

File NameTypeDescription
 33829.pdf pdf 

Back To Researches Page