2369 search results - page 18 / 474 » Active Learning with Confidence |
77
Voted
ICCV
2003
IEEE
15 years 11 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...
72
Voted
DIS
2009
Springer
15 years 4 months ago
2009
Springer
We present an active learning scheme that exploits cluster structure in data.
COLT
2007
Springer
15 years 3 months ago
2007
Springer
This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
AINA
2007
IEEE
15 years 4 months ago
2007
IEEE
— In this paper, we propose an application-driven MAC-layer buffer management framework based on a novel Active Dropping (AD) mechanism for real-time video streaming in IEEE 802....
ICML
2004
IEEE
15 years 3 months ago
2004
IEEE
The effort necessary to construct labeled sets of examples in a supervised learning scenario is often disregarded, though in many applications, it is a time-consuming and expensi...