13026 search results - page 204 / 2606 » Probabilistic Relational Models |
140
Voted
IR
2006
15 years 3 months ago
2006
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
137
Voted
CVPR
2005
IEEE
16 years 5 months ago
2005
IEEE
Objects can exhibit different dynamics at different scales, and this is often exploited by visual tracking algorithms. A local dynamic model is typically used to extract image fea...
141
Voted
ICCV
2003
IEEE
16 years 5 months ago
2003
IEEE
Dynamic Probabilistic Networks (DPNs) are exploited for modelling the temporal relationships among a set of different object temporal events in the scene for a coherent and robust...
151
Voted
ICML
2008
IEEE
16 years 4 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
129
Voted
NIPS
2007
15 years 5 months ago
2007
Many existing approaches to collaborative filtering can neither handle very large datasets nor easily deal with users who have very few ratings. In this paper we present the Prob...