922 search results - page 93 / 185 » Learning Gaussian Process Models from Uncertain Data |
133
Voted
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
From conventional wisdom and empirical studies of annotated data, it has been shown that visual statistics such as object frequencies and segment sizes follow power law distributi...
116
Voted
UM
2007
Springer
15 years 8 months ago
2007
Springer
Motivation is well-known for its importance in learning and its influence on cognitive processes. Adaptive systems would greatly benefit from having a user model of the learner’s...
145
Voted
RSS
2007
15 years 4 months ago
2007
— Matching laser range scans observed at different points in time is a crucial component of many robotics tasks, including mobile robot localization and mapping. While existing t...
108
Voted
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
136
Voted
SIGIR
2009
ACM
15 years 9 months ago
2009
ACM
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...