90 search results - page 9 / 18 » Semi-Supervised Learning with Very Few Labeled Training Exam... |
MLMI
2007
Springer
14 years 1 months ago
2007
Springer
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...
IJCAI
2003
13 years 8 months ago
2003
We present a simple, easily implemented spectral learning algorithm which applies equally whether we have no supervisory information, pairwise link constraints, or labeled example...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
We consider a special type of multi-label learning where class assignments of training examples are incomplete. As an example, an instance whose true class assignment is (c1, c2, ...
SDM
2010
SIAM
13 years 8 months ago
2010
SIAM
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
IJCV
2008
13 years 7 months ago
2008
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). ...