372 search results - page 31 / 75 » Covariance Kernels from Bayesian Generative Models |
JMLR
2010
13 years 2 months ago
2010
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
IVC
2010
13 years 6 months ago
2010
In this paper we propose a Gaussian-kernel-based online kernel density estimation which can be used for applications of online probability density estimation and online learning. ...
ICDAR
2007
IEEE
14 years 2 months ago
2007
IEEE
Decoding noisy document images is commonly needed in applications such as enterprise content management. Available OCR solutions are still not satisfactory especially on noisy ima...
CVPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
ISBI
2002
IEEE
2002
IEEE
Covariance-driven retinal image registration initialized from small sets of landmark correspondences
14 years 8 months ago
An automatic retinal image registration algorithm would be an important tool for detecting visible changes in the retina caused by the progress of a disease or by the impact of a ...