1339 search results - page 107 / 268 » Learning Functions from Imperfect Positive Data |
132
Voted
ICCV
2009
IEEE
16 years 8 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
124
Voted
BMCBI
2006
15 years 3 months ago
2006
Background: Methods for predicting protein function directly from amino acid sequences are useful tools in the study of uncharacterised protein families and in comparative genomic...
153
Voted
MVA
2000
15 years 4 months ago
2000
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
123
Voted
IJCAI
1989
15 years 4 months ago
1989
In real-world domains a concept to be learned may be unwieldy and the environment may be less than ideal. One combination of difficulties occurs if the concept is probabilistic an...
206
Voted
SIAMIS
2010
14 years 10 months ago
2010
Markov random field (MRF) models, including conditional random field models, are popular in computer vision. However, in order to be computationally tractable, they are limited to ...