613 search results - page 67 / 123 » Learning the Structure of Linear Latent Variable Models |
ICVS
2003
Springer
14 years 2 months ago
2003
Springer
This paper shows how to construct a linear deformable model for graph structure by performing principal components analysis (PCA) on the vectorised adjacency matrix. We commence b...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
In this work we propose a model for video scenes that contain temporal variability in shape and appearance. We propose a conditionally linear model akin to a dynamic extension of ...
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
CORR
2012
Springer
12 years 4 months ago
2012
Springer
We present a novel approach to constraintbased causal discovery, that takes the form of straightforward logical inference, applied to a list of simple, logical statements about ca...
ICANN
2003
Springer
14 years 2 months ago
2003
Springer
Abstract. An abstract recurrent neural network trained by an unsupervised method is applied to the kinematic control of a robot arm. The network is a novel extension of the Neural ...