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» Face identification using linear regression
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BMCBI
2008
131views more  BMCBI 2008»
13 years 7 months ago
K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space
Background: Kernel-based classification and regression methods have been successfully applied to modelling a wide variety of biological data. The Kernel-based Orthogonal Projectio...
Max Bylesjö, Mattias Rantalainen, Jeremy K. N...
EDBTW
2010
Springer
14 years 2 months ago
Quantile-based bootstrap methods to generate continuous synthetic data
To face the increasing demand from users, National Statistical Institutes (NSI) release different information products. The dissemination of this information should be performed ...
Daniela Ichim
ICCV
2009
IEEE
15 years 13 days ago
Poselets: Body Part Detectors Trained Using 3D Human Pose Annotations
We address the classic problems of detection, segmenta- tion and pose estimation of people in images with a novel definition of a part, a poselet. We postulate two criteria (1) ...
Lubomir Bourdev, Jitendra Malik
TKDE
2011
479views more  TKDE 2011»
13 years 2 months ago
Learning Semi-Riemannian Metrics for Semisupervised Feature Extraction
—Discriminant feature extraction plays a central role in pattern recognition and classification. Linear Discriminant Analysis (LDA) is a traditional algorithm for supervised feat...
Wei Zhang, Zhouchen Lin, Xiaoou Tang
ICML
2010
IEEE
13 years 8 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider