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» Large Scale Learning of Active Shape Models
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INTERSPEECH
2010
14 years 4 months ago
Memory-based active learning for French broadcast news
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
Frédéric Tantini, Christophe Cerisar...
FGR
2004
IEEE
131views Biometrics» more  FGR 2004»
15 years 1 months ago
Active Morphable Model: An Efficient Method for Face Analysis
Multidimensional Morphable Model is a powerful model to analyze and synthesize human faces. However, the stochastic gradient descent algorithm adopted to match the Morphable Model...
Xun Xu, Changshui Zhang, Thomas S. Huang
79
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PAMI
2008
202views more  PAMI 2008»
14 years 9 months ago
Metamorphs: Deformable Shape and Appearance Models
This paper presents a new deformable modeling strategy aimed at integrating shape and appearance in a unified space. If we think traditional deformable models as "active cont...
Xiaolei Huang, Dimitris N. Metaxas
MICROMACHINES
2011
14 years 4 months ago
Modeling Self-Assembly Across Scales: The Unifying Perspective of Smart Minimal Particles
: A wealth of current research in microengineering aims at fabricating devices of increasing complexity, notably by (self-)assembling elementary components into heterogeneous funct...
Massimo Mastrangeli, Grégory Mermoud, Alche...
CVPR
2009
IEEE
16 years 4 months ago
(De) Focusing on Global Light Transport for Active Scene Recovery
Most active scene recovery techniques assume that a scene point is illuminated only directly by the illumination source. Consequently, global illumination effects due to inter-refl...
Li Zhang, Mohit Gupta, Srinivasa G. Narasimhan, Yu...