39 search results - page 2 / 8 » Large scale metric learning from equivalence constraints |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
ICDM
2008
IEEE
13 years 12 months ago
2008
IEEE
This paper presents a data oriented approach to modeling the complex computing systems, in which an ensemble of correlation models are discovered to represent the system status. I...
ICML
2008
IEEE
14 years 6 months ago
2008
IEEE
In this paper we study how to improve nearest neighbor classification by learning a Mahalanobis distance metric. We build on a recently proposed framework for distance metric lear...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Face identification is the problem of determining
whether two face images depict the same person or not.
This is difficult due to variations in scale, pose, lighting,
background...
CVPR
2004
IEEE
14 years 7 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...