1956 search results - page 19 / 392 » Learning the Relative Importance of Features in Image Data |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Different features have different relevance to a particular learning problem. Some features are less relevant; while some very important. Instead of selecting the most relevant fe...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
LREC
2008
13 years 8 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
RAS
2007
13 years 7 months ago
2007
Abstract— In human-robot communication it is often important to relate robot sensor readings to concepts used by humans. We suggest to use a virtual sensor (one or several physic...
ECCV
1990
Springer
14 years 9 months ago
1990
Springer
Abstract We present a method for extracting geometric and relational structures from raw intensity data. On one hand, low-level image processing extracts isolated features. On the ...