997 search results - page 159 / 200 » Learning Rule Representations from Boolean Data |
124
Voted
ICCV
2007
IEEE
15 years 9 months ago
2007
IEEE
In the literature of psychophysics and neurophysiology, many studies have shown that both global and local features are crucial for face representation and recognition. This paper...
149
Voted
SLSFS
2005
Springer
15 years 8 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
102
Voted
BMCBI
2006
15 years 2 months ago
2006
Background: A number of methods that use both protein structural and evolutionary information are available to predict the functional consequences of missense mutations. However, ...
236
Voted
ALT
2011
Springer
14 years 2 months ago
2011
Springer
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
134
click to vote
ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
We present a manifold learning approach to dimensionality
reduction that explicitly models the manifold as a mapping
from low to high dimensional space. The manifold is
represen...