290 search results - page 3 / 58 » Learning hierarchical similarity metrics |
66
Voted
ICCV
2009
IEEE
16 years 2 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...
112
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BMCBI
2005
14 years 9 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...
100
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DEXAW
1999
IEEE
15 years 1 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
15 years 10 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
14 years 9 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...