15 search results - page 2 / 3 » Removing biases in unsupervised learning of sequential patte... |
CORR
2010
Springer
13 years 3 months ago
2010
Springer
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...
NN
2006
Springer
13 years 7 months ago
2006
Springer
This paper presents an on-line unsupervised learning mechanism for unlabeled data that are polluted by noise. Using a similarity thresholdbased and a local error-based insertion c...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper, we present an approach we refer to as "least squares congealing" which provides a solution to the problem of aligning an ensemble of images in an unsuperv...
CVPR
2010
IEEE
13 years 8 months ago
2010
IEEE
We present a simple, fast, and effective method to detect defects on textured surfaces. Our method is unsupervised and contains no learning stage or information on the texture bei...
PR
2006
13 years 7 months ago
2006
In this paper, we discuss the influence of feature vectors contributions at each learning time t on a sequential-type competitive learning algorithm. We then give a learning rate ...