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JMLR
2010
202views more  JMLR 2010»
14 years 10 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...
158
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PAMI
2006
221views more  PAMI 2006»
15 years 3 months ago
Face Recognition from a Single Training Image under Arbitrary Unknown Lighting Using Spherical Harmonics
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
Lei Zhang 0002, Dimitris Samaras
ACCV
2007
Springer
15 years 9 months ago
Simultaneous Appearance Modeling and Segmentation for Matching People Under Occlusion
We describe an approach to segmenting foreground regions corresponding to a group of people into individual humans. Given background subtraction and ground plane homography, hierar...
Zhe Lin, Larry S. Davis, David S. Doermann, Daniel...
IBPRIA
2007
Springer
15 years 9 months ago
Known Unknowns: Novelty Detection in Condition Monitoring
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
John A. Quinn, Christopher K. I. Williams
119
Voted
ICPR
2000
IEEE
16 years 4 months ago
Using Model-Based Localization with Active Navigation
Vision is an important sensor used for mobile robot navigation. One approach to localization which is based on vision is to compute camera egomotion with respect to base images. W...
Amit Adam, Ehud Rivlin, Ilan Shimshoni