428 search results - page 28 / 86 » Preference learning with Gaussian processes |
116
Voted
UIST
2005
ACM
15 years 8 months ago
2005
ACM
Decision-theoretic optimization is becoming a popular tool in the user interface community, but creating accurate cost (or utility) functions has become a bottleneck — in most c...
137
Voted
ICASSP
2009
IEEE
15 years 9 months ago
2009
IEEE
This paper presents a multi-view articulated human motion tracking framework using particle filter with manifold learning through Gaussian process latent variable model. The dime...
122
Voted
ICIP
2005
IEEE
16 years 4 months ago
2005
IEEE
We consider the problem of image segmentation by clustering local histograms with parametric mixture-of-mixture models. These models represent each cluster by a single mixture mod...
123
Voted
SIGECOM
2003
ACM
15 years 7 months ago
2003
ACM
Preference elicitation — the process of asking queries to determine parties’ preferences — is a key part of many problems in electronic commerce. For example, a shopping age...
102
Voted
ICONS
2008
IEEE
15 years 9 months ago
2008
IEEE
With the increasing interest in developing pervasive computing technologies there is growing recognition of the problems of maintaining user privacy. In the Daidalos pervasive sys...