290 search results - page 3 / 58 » Learning hierarchical similarity metrics |
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
BMCBI
2005
13 years 5 months ago
2005
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
DEXAW
1999
IEEE
13 years 10 months ago
1999
IEEE
This paper presents two metrics for the Nearest Neighbor Classifier that share the property of being adapted, i.e. learned, on a set of data. Both metrics can be used for similari...
OSDI
2008
ACM
14 years 5 months ago
2008
ACM
We develop a machine-learned similarity metric for Windows failure reports using telemetry data gathered from clients describing the failures. The key feature is a tuned callstack...
JIFS
2006
13 years 5 months ago
2006
Fundamental to case-based reasoning is the idea that similar problems have similar solutions. The meaning of the concept of "similarity" can vary in different situations...