129 search results - page 22 / 26 » Active learning with extremely sparse labeled examples |
ICCV
2009
IEEE
15 years 17 days ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
ICCV
2009
IEEE
15 years 17 days ago
2009
IEEE
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
NIPS
2008
13 years 9 months ago
2008
Inspired by the hierarchical hidden Markov models (HHMM), we present the hierarchical semi-Markov conditional random field (HSCRF), a generalisation of embedded undirected Markov ...
IUI
2000
ACM
13 years 12 months ago
2000
ACM
For intelligent interfaces attempting to learn a user’s interests, the cost of obtaining labeled training instances is prohibitive because the user must directly label each trai...
CIKM
2011
Springer
12 years 7 months ago
2011
Springer
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...