A novel document ranking method using the discrete cosine transform.
We propose a new Spectral text retrieval method using the Discrete Cosine Transform (DCT). By taking advantage of the properties of the DCT and by employing the fast query and compression techniques found in vector space methods (VSM), we show that we can process queries as fast as VSM and achieve a much higher precision.
Park
Laurence A F
LA
ARC Centre for Perceptive and Intelligent Machines in Complex Environments, Department of Computer Science and Software Engineering, University of Melbourne, Parkville, Victoria, Australia. lapark@csse.unimelb.edu.au
Palaniswami
Marimuthu
M
Ramamohanarao
Kotagiri
K
D000465:Algorithms; D001185:Artificial Intelligence; D003196:Computer Graphics; D004282:Documentation / Q000379:methods; D001330:Electronic Data Processing / Q000379:methods*; D006236:Handwriting; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D015233:Models, Statistical; D009716:Numerical Analysis, Computer-Assisted; D010363:Pattern Recognition, Automated / Q000379:methods*; D011932:Reading; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013382:Subtraction Technique; D014584:User-Computer Interface