297 search results - page 24 / 60 » Learning from Ambiguously Labeled Examples |
AAAI
2006
14 years 10 days ago
2006
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
SDM
2010
SIAM
14 years 11 days ago
2010
SIAM
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
MIR
2003
ACM
14 years 4 months ago
2003
ACM
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
SIGIR
2012
ACM
12 years 1 months ago
2012
ACM
In crowdsourced relevance judging, each crowd worker typically judges only a small number of examples, yielding a sparse and imbalanced set of judgments in which relatively few wo...
ICCV
2009
IEEE
15 years 3 months 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 ...