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» On Kernel Methods for Relational Learning
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CORR
2002
Springer
180views Education» more  CORR 2002»
13 years 10 months ago
Non-negative sparse coding
Abstract. Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this...
Patrik O. Hoyer
ICIP
2009
IEEE
14 years 11 months ago
Age Regression From Faces Using Random Forests
Predicting the age of a person through face image analysis holds the potential to drive an extensive array of real world applications from human computer interaction and security ...
WACV
2002
IEEE
14 years 3 months ago
Range Synthesis for 3D Environment Modeling
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
Luz Abril Torres-Méndez, Gregory Dudek
DAGM
2010
Springer
13 years 11 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
AVSS
2009
IEEE
14 years 5 months ago
Global Illumination Compensation for Background Subtraction Using Gaussian-Based Background Difference Modeling
This paper presents a background segmentation technique, which is able to process acceptable segmentation masks under fast global illumination changes. The histogram of the frame-...
Julien A. Vijverberg, Marijn J. H. Loomans, Cornel...