297 search results - page 6 / 60 » Learning from Ambiguously Labeled Examples |
JMLR
2010
13 years 5 months ago
2010
We consider a supervised learning setting in which the main cost of learning is the number of training labels and one can obtain a single label for a bag of examples, indicating o...
AAAI
2010
14 years 10 days ago
2010
One of the main difficulties in facial age estimation is the lack of sufficient training data for many ages. Fortunately, the faces at close ages look similar since aging is a slo...
KDD
2010
ACM
14 years 2 months ago
2010
ACM
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
ICCV
2005
IEEE
15 years 24 days ago
2005
IEEE
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
BMVC
2000
14 years 7 days 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...