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SIGMOD
2006
ACM
125views Database» more  SIGMOD 2006»
14 years 7 months ago
A non-linear dimensionality-reduction technique for fast similarity search in large databases
To enable efficient similarity search in large databases, many indexing techniques use a linear transformation scheme to reduce dimensions and allow fast approximation. In this re...
Khanh Vu, Kien A. Hua, Hao Cheng, Sheau-Dong Lang
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 7 months ago
Feature Level Fusion of Face and Fingerprint Biometrics
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extr...
Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bice...
STACS
1992
Springer
13 years 11 months ago
Speeding Up Two String-Matching Algorithms
We show how to speed up two string-matching algorithms: the Boyer-Moore algorithm (BM algorithm), and its version called here the reverse factor algorithm (RF algorithm). The RF al...
Maxime Crochemore, Thierry Lecroq, Artur Czumaj, L...
ICASSP
2011
IEEE
12 years 11 months ago
A new method for visual stylometry on impressionist paintings
A new emerging field, that of visual stylometry of art, proposes to apply image analysis and machine learning tools to high-resolution digital images of artwork in order to assis...
Hanchao Qi, Shannon Hughes
KDD
2001
ACM
203views Data Mining» more  KDD 2001»
14 years 7 months ago
Ensemble-index: a new approach to indexing large databases
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...
Eamonn J. Keogh, Selina Chu, Michael J. Pazzani