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» On sparse signal representations
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ICPR
2006
IEEE
16 years 7 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
FGR
2008
IEEE
254views Biometrics» more  FGR 2008»
15 years 7 months ago
Design sparse features for age estimation using hierarchical face model
A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for fa...
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Sha...
JMLR
2010
202views more  JMLR 2010»
15 years 1 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
FGR
2011
IEEE
340views Biometrics» more  FGR 2011»
14 years 9 months ago
Action unit detection using sparse appearance descriptors in space-time video volumes
— Recently developed appearance descriptors offer the opportunity for efficient and robust facial expression recognition. In this paper we investigate the merits of the family o...
Bihan Jiang, Michel François Valstar, Maja ...
164
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ICRA
2005
IEEE
114views Robotics» more  ICRA 2005»
15 years 12 months ago
A Proof for the Approximate Sparsity of SLAM Information Matrices
— For the Simultaneous Localization and Mapping problem several efficient algorithms have been proposed that make use of a sparse information matrix representation (e.g. SEIF, T...
Udo Frese