5302 search results - page 158 / 1061 » Learning How to Separate |
118
Voted
NN
2006
Springer
15 years 3 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...
145
Voted
JMLR
2010
14 years 10 months ago
2010
We present a new approximate inference algorithm for Deep Boltzmann Machines (DBM's), a generative model with many layers of hidden variables. The algorithm learns a separate...
159
Voted
FTCGV
2011
14 years 7 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
200
Voted
ICCSA
2011
Springer
14 years 7 months ago
2011
Springer
The LMS plays a decisive role in most eLearning environments. Although they integrate many useful tools for managing eLearning activities, they must also be effectively integrated ...
131
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...