1553 search results - page 75 / 311 » Learning from Multiple Sources of Inaccurate Data |
117
Voted
ICRA
2005
IEEE
15 years 8 months ago
2005
IEEE
— Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness sys...
126
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
131
Voted
FLAIRS
2004
15 years 4 months ago
2004
In our prior work, we introduced a generalization of the multiple-instance learning (MIL) model in which a bag's label is not based on a single instance's proximity to a...
110
Voted
AAAI
2007
15 years 5 months ago
2007
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
102
Voted
IJCMAM
2010
14 years 12 months ago
2010
For health care related research studies the medical records of patients may need to be retrieved from multiple sites with different regulations on the disclosure of health inform...