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» Generalized Discriminant Analysis Using a Kernel Approach
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ICCV
2007
IEEE
16 years 8 months ago
Population Shape Regression From Random Design Data
Regression analysis is a powerful tool for the study of changes in a dependent variable as a function of an independent regressor variable, and in particular it is applicable to t...
Bradley C. Davis, P. Thomas Fletcher, Elizabeth Bu...
JMLR
2012
13 years 9 months ago
On Nonparametric Guidance for Learning Autoencoder Representations
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
Jasper Snoek, Ryan Prescott Adams, Hugo Larochelle
PRL
2010
181views more  PRL 2010»
15 years 5 months ago
Gait recognition without subject cooperation
The strength of gait, compared to other biometrics, is that it does not require cooperative subjects. Previoius gait recognition approaches were evaluated using a gallery set cons...
Khalid Bashir, Tao Xiang, Shaogang Gong
FGR
2008
IEEE
214views Biometrics» more  FGR 2008»
16 years 1 months ago
Normalized LDA for semi-supervised learning
Linear Discriminant Analysis (LDA) has been a popular method for feature extracting and face recognition. As a supervised method, it requires manually labeled samples for training...
Bin Fan, Zhen Lei, Stan Z. Li
GI
1998
Springer
15 years 10 months ago
Business Object Facilities - A Comparative Analysis
Rapidlychanging business processes require quick adaption of supportinginformationsystems. Component technologies in general and business objects, in particular seem a promising a...
Wolfgang Emmerich, Ernst Ellmer, Birgit Osterholt,...