922 search results - page 152 / 185 » Learning Gaussian Process Models from Uncertain Data |
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
We recently proposed a new algorithm to perform acoustic model adaptation to noisy environments called Linear Spline Interpolation (LSI). In this method, the nonlinear relationshi...
RSS
2007
13 years 8 months ago
2007
Abstract— This paper considers the problem of learning to recognize different terrains from color imagery in a fully automatic fashion, using the robot’s mechanical sensors as ...
CIVR
2008
Springer
13 years 9 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
ALT
2010
Springer
13 years 9 months ago
2010
Springer
: In many prediction problems, including those that arise in computer security and computational finance, the process generating the data is best modeled as an adversary with whom ...
ECCV
2004
Springer
14 years 8 months ago
2004
Springer
Low-level image processing algorithms generally provide noisy features that are far from being Gaussian. Medium-level tasks such as object detection must therefore be robust to out...