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CVPR
2005
IEEE
16 years 13 days ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
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...
Sumit Chopra, Raia Hadsell, Yann LeCun
EKAW
2006
Springer
15 years 2 months ago
Semantic Metrics
In the context of the Semantic Web, many ontology-related operations, e.g. ontology ranking, segmentation, alignment, articulation, reuse, evaluation, can reduced to one fundamenta...
Bo Hu, Yannis Kalfoglou, Harith Alani, David Duppl...
ACCV
2009
Springer
15 years 1 months ago
Head Pose Estimation Based on Manifold Embedding and Distance Metric Learning
In this paper, we propose an embedding method to seek an optimal low-dimensional manifold describing the intrinsical pose variations and to provide an identity-independent head pos...
Xiangyang Liu, Hongtao Lu, Daqiang Zhang
90
Voted
COMPGEOM
2008
ACM
15 years 6 days ago
Embedding and similarity search for point sets under translation
Pattern matching in point sets is a well studied problem with numerous applications. We assume that the point sets may contain outliers (missing or spurious points) and are subjec...
Minkyoung Cho, David M. Mount
ACL
2007
14 years 12 months ago
A Simple, Similarity-based Model for Selectional Preferences
We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeli...
Katrin Erk