737 search results - page 36 / 148 » A General Model for Multiple View Unsupervised Learning |
AMAI
2002
Springer
13 years 7 months ago
2002
Springer
This paper introduces a framework for modeling the movement of objects or individuals over multiple granularities. Granularity refers to selecting the appropriate level of detail ...
TNN
2008
13 years 7 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
UAI
2004
13 years 9 months ago
2004
This paper uses Factored Latent Analysis (FLA) to learn a factorized, segmental representation for observations of tracked objects over time. Factored Latent Analysis is latent cl...
MIR
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we will propose a novel semi-automatic annotation scheme for video semantic classification. It is well known that the large gap between high-level semantics and low...
AAAI
2000
13 years 9 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...