19 search results - page 1 / 4 » MIML: A Framework for Learning with Ambiguous Objects |
CORR
2008
Springer
13 years 5 months ago
2008
Springer
KDD
2012
ACM
11 years 8 months ago
2012
ACM
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
AAAI
2012
11 years 8 months ago
2012
In many real applications, especially those involving data objects with complicated semantics, it is generally desirable to discover the relation between patterns in the input spa...
BRAIN
2009
Springer
14 years 3 days ago
2009
Springer
BMVC
2000
13 years 6 months ago
2000
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...