156 search results - page 17 / 32 » Generalized Principal Component Analysis (GPCA) |
IWDW
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, we use the previously proposed calibrated DCT features [9] to construct a Support Vector Machine classifier for JPEG images capable of recognizing which steganograp...
ICIAP
1999
ACM
14 years 26 days ago
1999
ACM
In this work we propose a new supervised deformable model that generalizes the classical contour-based snake. This model is defined to deform in a feature space generated by a se...
NIPS
2003
13 years 10 months ago
2003
In this paper we introduce a new underlying probabilistic model for principal component analysis (PCA). Our formulation interprets PCA as a particular Gaussian process prior on a ...
RAS
2007
13 years 8 months ago
2007
This paper presents experiments with an autonomous inspection robot, whose task was to highlight novel features in its environment from camera images. The experiments used two dif...
ALT
2010
Springer
13 years 5 months ago
2010
Springer
We focus on the estimation of a probability distribution over a set of trees. We consider here the class of distributions computed by weighted automata - a strict generalization of...