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ICCV
2007
IEEE
14 years 5 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang
PR
2006
164views more  PR 2006»
13 years 3 months ago
Locally linear metric adaptation with application to semi-supervised clustering and image retrieval
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...
Hong Chang, Dit-Yan Yeung
CVPR
2011
IEEE
12 years 11 months ago
A Deformation and Lighting Insensitive Metric for Face Recognition
Face recognition is a challenging problem, complicated by variations in pose, expression, lighting, and the passage of time. Significant work has been done to solve each of these...
Anne Jorstad, David Jacobs, Alain Trouvé
ICCV
1998
IEEE
13 years 8 months ago
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
One of the key problems in appearance-based vision is understanding how to use a set of labeled images to classify new images. Classification systems that can model human performa...
David W. Jacobs, Daphna Weinshall, Yoram Gdalyahu
WIDM
2004
ACM
13 years 9 months ago
Measuring similarity between collection of values
In this paper, we propose a set of similarity metrics for manipulating collections of values occuring in XML documents. Following the data model presented in TAX algebra, we treat...
Carina F. Dorneles, Carlos A. Heuser, Andrei E. N....