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WSC
2004
15 years 5 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson
ICPR
2006
IEEE
16 years 5 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin
CBMS
2005
IEEE
15 years 9 months ago
Automated Optic Nerve Analysis for Diagnostic Support in Glaucoma
The availability of modern imaging techniques such as Confocal Scanning Laser Tomography (CSLT) for capturing high-quality optic nerve images offer the potential for developing au...
Jin Yu, Syed Sibte Raza Abidi, Paul Habib Artes, A...
ESWA
2008
134views more  ESWA 2008»
15 years 2 months ago
Neighborhood classifiers
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
Qinghua Hu, Daren Yu, Zongxia Xie
SSWMC
2004
15 years 5 months ago
Universal image steganalysis using rate-distortion curves
The goal of image steganography is to embed information in a cover image using modifications that are undetectable. In actual practice, however, most techniques produce stego imag...
Mehmet Utku Celik, Gaurav Sharma, A. Murat Tekalp