58 search results - page 5 / 12 » Learning a Distance Metric from Multi-instance Multi-label D... |
KDD
2010
ACM
13 years 9 months ago
2010
ACM
In plenty of scenarios, data can be represented as vectors mathematically abstracted as points in a Euclidean space. Because a great number of machine learning and data mining app...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
—We consider the problem of positioning a cloud of points in the Euclidean space Rd , from noisy measurements of a subset of pairwise distances. This task has applications in var...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
PR
2010
13 years 6 months ago
2010
We develop a supervised dimensionality reduction method, called Lorentzian Discriminant Projection (LDP), for feature extraction and classification. Our method represents the str...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...