31 search results - page 3 / 7 » A Gaussian process latent variable model formulation of cano... |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
A linear, discriminative, supervised technique for reducing feature vectors extracted from image data to a lower-dimensional representation is proposed. It is derived from classica...
CORR
2012
Springer
12 years 3 months ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
We propose a novel semi-supervised method for building a statistical model that represents the relationship between sounds and text labels (“tags”). The proposed method, named...
BMVC
2010
13 years 5 months ago
2010
Among various factors that can affect the performance of gait recognition, changes in viewpoint pose the biggest problem. In this work, we develop a novel approach to cross-view g...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...