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PAMI
2006
147views more  PAMI 2006»
13 years 7 months ago
Bayesian Gaussian Process Classification with the EM-EP Algorithm
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
Hyun-Chul Kim, Zoubin Ghahramani
PRL
2006
78views more  PRL 2006»
13 years 7 months ago
The interaction between classification and reject performance for distance-based reject-option classifiers
Consider the class of problems in which a target class is well-defined, and an outlier class is ill-defined. In these cases new outlier classes can appear, or the class-conditiona...
Thomas Landgrebe, David M. J. Tax, Pavel Pacl&iacu...
INFORMATICALT
2000
197views more  INFORMATICALT 2000»
13 years 7 months ago
Fingerprint Pre-Classification Using Ridge Density
Fingerprint ridge frequency is a global feature, which is most prominently different in fingerprints of men and woman, and it also changes within the maturing period of a person. T...
Algimantas Malickas, Rimantas Vitkus
JUCS
2010
135views more  JUCS 2010»
13 years 6 months ago
Web Context Classification Based on Information Quality Factors
: The fact that the World Wide Web is being used for various purposes also implies that users may have various information quality factors to consider according to their current co...
Jinhyuk Choi, Geehyuk Lee, Junghoon Moon
PAMI
2010
248views more  PAMI 2010»
13 years 6 months ago
Coupled Prediction Classification for Robust Visual Tracking
—This paper addresses the problem of robust template tracking in image sequences. Our work falls within the discriminative framework in which the observations at each frame yield...
Ioannis Patras, Edwin R. Hancock