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ACCV
2009
Springer
15 years 9 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
COMGEO
2007
ACM
15 years 6 months ago
On simultaneous planar graph embeddings
We consider the problem of simultaneous embedding of planar graphs. There are two variants of this problem, one in which the mapping between the vertices of the two graphs is given...
Peter Braß, Eowyn Cenek, Christian A. Duncan...
ML
2010
ACM
193views Machine Learning» more  ML 2010»
15 years 1 months ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...
ACIVS
2009
Springer
16 years 1 months ago
Image Categorization Using ESFS: A New Embedded Feature Selection Method Based on SFS
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
Huanzhang Fu, Zhongzhe Xiao, Emmanuel Dellandr&eac...
EMSOFT
2009
Springer
16 years 1 months ago
Analytic real-time analysis and timed automata: a hybrid method for analyzing embedded real-time systems
This paper advocates a strict compositional and hybrid approach for obtaining key (performance) metrics of embedded At its core the developed methodology abstracts system componen...
Kai Lampka, Simon Perathoner, Lothar Thiele