54 search results - page 6 / 11 » Manifold denoising with Gaussian Process Latent Variable Mod... |
102
Voted
TIP
2008
14 years 9 months ago
2008
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We introduce models for density estimation with multiple, hidden, continuous factors. In particular, we propose a generalization of multilinear models using nonlinear basis functi...
ICA
2007
Springer
15 years 1 months ago
2007
Springer
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
112
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ICONIP
2007
14 years 11 months ago
2007
Abstract. An effective way to examine causality is to conduct an experiment with random assignment. However, in many cases it is impossible or too expensive to perform controlled ...
97
Voted
ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...