1521 search results - page 139 / 305 » A learning model for oscillatory networks |
187
click to vote
CVPR
1999
IEEE
16 years 8 months ago
1999
IEEE
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
168
click to vote
CCS
2004
ACM
15 years 12 months ago
2004
ACM
In order to solve future Multi Level Security (MLS) problems, we have developed a solution based on the DARPA Polymorphous Computing Architecture (PCA). MLS-PCA uses a novel distr...
171
click to vote
ECSQARU
2009
Springer
16 years 1 months ago
2009
Springer
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
206
click to vote
CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
We address the problem of label assignment in computer
vision: given a novel 3-D or 2-D scene, we wish to assign a
unique label to every site (voxel, pixel, superpixel, etc.). To...
211
click to vote
PRL
2011
15 years 1 months ago
2011
In some real world applications, such as spectrometry, functional models achieve better predictive performances if they work on the derivatives of order m of their inputs rather t...