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ACCV
2009
Springer
14 years 29 days 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
TKDE
2008
148views more  TKDE 2008»
13 years 9 months ago
Semisupervised Clustering with Metric Learning using Relative Comparisons
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
Nimit Kumar, Krishna Kummamuru
KDD
2009
ACM
157views Data Mining» more  KDD 2009»
14 years 4 months ago
Accuracy of distance metric learning algorithms
Frank Nielsen, Aurélien Sérandour