3449 search results - page 398 / 690 » A Framework for Multiple-Instance Learning |
180
click to vote
HUMO
2007
Springer
15 years 11 months ago
2007
Springer
Abstract. Learned, activity-specific motion models are useful for human pose and motion estimation. Nevertheless, while the use of activityspecific models simplifies monocular t...
149
click to vote
ILP
2007
Springer
15 years 11 months ago
2007
Springer
Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
157
Voted
IROS
2006
IEEE
15 years 11 months ago
2006
IEEE
- We propose a novel framework for imitation learning that helps a humanoid robot achieve its goal of learning. There are apparent discrepancies in shapes and sizes among humans an...
122
Voted
SAC
2003
ACM
15 years 10 months ago
2003
ACM
Survey coding is the task of assigning a symbolic code from a predefined set of such codes to the answer given in response to an open-ended question in a questionnaire (aka surve...
140
click to vote
AIME
2003
Springer
15 years 10 months ago
2003
Springer
There is much empirical evidence about the success of naive Bayesian classification (NBC) in medical applications of attribute-based machine learning. NBC assumes conditional inde...