733 search results - page 54 / 147 » Learning Riemannian Metrics |
BMVC
1998
13 years 10 months ago
1998
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
KDD
1994
ACM
14 years 24 days ago
1994
ACM
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
ESANN
2008
13 years 10 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
ICML
2008
IEEE
14 years 9 months ago
2008
IEEE
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
GECCO
2007
Springer
14 years 18 days ago
2007
Springer
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...