60 search results - page 4 / 12 » State-Space Inference and Learning with Gaussian Processes |
PAMI
2006
14 years 11 months ago
2006
Gaussian process classifiers (GPCs) are Bayesian probabilistic kernel classifiers. In GPCs, the probability of belonging to a certain class at an input location is monotonically re...
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ICASSP
2010
IEEE
14 years 11 months ago
2010
IEEE
The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
SDM
2008
SIAM
15 years 24 days ago
2008
SIAM
Network security has been a serious concern for many years. For example, firewalls often record thousands of exploit attempts on a daily basis. Network administrators could benefi...
ECCV
2008
Springer
16 years 1 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
NIPS
2003
15 years 22 days ago
2003
When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...