A novel document retrieval method using the discrete wavelet transform
ACM Transactions on Information Systems (TOIS)
Broadening vector space schemes for improving the quality of information retrieval
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
Spectral-based document retrieval
ASIAN'04 Proceedings of the 9th Asian Computing Science conference on Advances in Computer Science: dedicated to Jean-Louis Lassez on the Occasion of His 5th Cycle Birthday
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
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The traditional methods of spectral text retrieval(FDS,CDS) create an index of spatial data and convert thedata to its spectral form at query time. We present a newmethod of implementing and querying an index containingspectral data which will conserve the high precision performanceof the spectral methods, reduce the time needed toresolve the query, and maintain an acceptable size for theindex. This is done by taking advantage of the propertiesof the discrete cosine transform and by applying ideas fromvector space document ranking methods.