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» Distributed Regression for Heterogeneous Data Sets
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NPL
1998
135views more  NPL 1998»
13 years 8 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
JMLR
2010
128views more  JMLR 2010»
13 years 6 months ago
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...
Gérard Biau, Frédéric C&eacut...
ICPR
2000
IEEE
14 years 25 days ago
Constrained Mixture Modeling of Intrinsically Low-Dimensional Distributions
In this paper we introduce a novel way of modeling distributions with a low latent dimensionality. Our method allows for a strict control of the properties of the mapping between ...
Joris Portegies Zwart, Ben J. A. Kröse
ACCV
2010
Springer
13 years 3 months ago
Latent Gaussian Mixture Regression for Human Pose Estimation
Discriminative approaches for human pose estimation model the functional mapping, or conditional distribution, between image features and 3D pose. Learning such multi-modal models ...
Yan Tian, Leonid Sigal, Hernán Badino, Fern...
DILS
2005
Springer
14 years 1 months ago
Cluster Based Integration of Heterogeneous Biological Databases Using the AutoMed Toolkit
This paper presents an extensible architecture that can be used to support the integration of heterogeneous biological data sets. In our architecture, a clustering approach has bee...
Michael Maibaum, Lucas Zamboulis, Galia Rimon, Chr...