177 search results - page 8 / 36 » Sparse Representation for Gaussian Process Models |
MLMI
2007
Springer
14 years 1 months ago
2007
Springer
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Tracking speakers is an important application in smart environments. Acoustic tracking using microphone arrays is a challenging task due to two major reasons: On the one hand, mul...
NIPS
2008
13 years 9 months ago
2008
Identification and comparison of nonlinear dynamical system models using noisy and sparse experimental data is a vital task in many fields, however current methods are computation...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Sparse signal representation based on overcomplete dictionaries has recently been extensively investigated, rendering the state-of-the-art results in signal, image and video proce...