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» Learning a Distance Metric from Relative Comparisons
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CVPR
2008
IEEE
14 years 11 months ago
Approximate earth mover's distance in linear time
The earth mover's distance (EMD) [16] is an important perceptually meaningful metric for comparing histograms, but it suffers from high (O(N3 log N)) computational complexity...
Sameer Shirdhonkar, David W. Jacobs
AAAI
2004
13 years 10 months ago
A Correspondence Metric for Imitation
Abstract-- Learning by imitation and learning from demonstration have received considerable attention in robotics. However, very little research has been in the direction of provid...
R. Amit, Maja J. Mataric
DIS
2010
Springer
13 years 7 months ago
Adapted Transfer of Distance Measures for Quantitative Structure-Activity Relationships
Quantitative structure-activity relationships (QSARs) are regression models relating chemical structure to biological activity. Such models allow to make predictions for toxicologi...
Ulrich Rückert, Tobias Girschick, Fabian Buch...
IJCV
2010
158views more  IJCV 2010»
13 years 7 months ago
Metric Learning for Image Alignment
Abstract Image alignment has been a long standing problem in computer vision. Parameterized Appearance Models (PAMs) such as the Lucas-Kanade method, Eigentracking, and Active Appe...
Minh Hoai Nguyen, Fernando De la Torre
COGSCI
2004
78views more  COGSCI 2004»
13 years 8 months ago
Varieties of sameness: the impact of relational complexity on perceptual comparisons
The fundamental relations that underlie cognitive comparisons--"same" and "different"--can be demultiple levels of abstraction, which vary in relational comple...
James K. Kroger, Keith J. Holyoak, John E. Hummel