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» Estimating Vision Parameters given Data with Covariances
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ICASSP
2009
IEEE
15 years 4 months ago
A complex cross-spectral distribution model using Normal Variance Mean Mixtures
We propose a model for the density of cross-spectral coefficients using Normal Variance Mean Mixtures. We show that this model density generalizes the corresponding marginal dens...
Jason A. Palmer, Scott Makeig, Kenneth Kreutz-Delg...
ECCV
2008
Springer
15 years 11 months ago
Structuring Visual Words in 3D for Arbitrary-View Object Localization
Abstract. We propose a novel and efficient method for generic arbitraryview object class detection and localization. In contrast to existing singleview and multi-view methods using...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
15 years 4 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
NIPS
2003
14 years 11 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
RT
2005
Springer
15 years 3 months ago
Estimation of 3D Faces and Illumination from Single Photographs Using A Bilinear Illumination Model
3D Face modeling is still one of the biggest challenges in computer graphics. In this paper we present a novel framework that acquires the 3D shape, texture, pose and illumination...
Jinho Lee, Hanspeter Pfister, Baback Moghaddam, Ra...