1837 search results - page 59 / 368 » Learning From Ambiguous Examples |
101
Voted
CVPR
2010
IEEE
15 years 10 months ago
2010
IEEE
This paper addresses the problem of recognizing shadows from monochromatic natural images. Without chromatic information, shadow classification is very challenging because the in...
233
click to vote
EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 6 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
157
Voted
WWW
2008
ACM
16 years 3 months ago
2008
ACM
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
126
click to vote
SIGIR
2008
ACM
15 years 2 months ago
2008
ACM
It is difficult to apply machine learning to new domains because often we lack labeled problem instances. In this paper, we provide a solution to this problem that leverages domai...
124
click to vote
ICRA
2005
IEEE
15 years 8 months ago
2005
IEEE
— This paper addresses the problem of classifying places in the environment of a mobile robot into semantic categories. We believe that semantic information about the type of pla...