290 search results - page 1 / 58 » Learning hierarchical similarity metrics |
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
Categories in multi-class data are often part of an underlying semantic taxonomy. Recent work in object classification has found interesting ways to use this taxonomy structure t...
ICDAR
2003
IEEE
13 years 9 months ago
2003
IEEE
Handwriting recognition and OCR systems need to cope with a wide variety of writing styles and fonts, many of them possibly not previously encountered during training. This paper d...
ICPR
2002
IEEE
14 years 5 months ago
2002
IEEE
When performing hierarchical clustering, some metric must be used to determine the similarity between pairs of clusters. Traditional similarity metrics either can only deal with s...
ECAI
2004
Springer
13 years 10 months ago
2004
Springer
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
NIPS
2008
13 years 6 months ago
2008
Metric learning algorithms can provide useful distance functions for a variety of domains, and recent work has shown good accuracy for problems where the learner can access all di...