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161
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CVPR
2011
IEEE
14 years 12 months ago
On Deep Generative Models with Applications to Recognition
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Marc', Aurelio Ranzato, Joshua Susskind, Volodymyr...
202
Voted
JMLR
2012
13 years 6 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen
176
Voted
TASLP
2010
150views more  TASLP 2010»
14 years 10 months ago
Diffuse Reverberation Model for Efficient Image-Source Simulation of Room Impulse Responses
Abstract-- In many research fields of engineering and acoustics, the image-source model represents one of the most popular tools for the simulation of sound fields in virtual rever...
Eric A. Lehmann, Anders M. Johansson
117
Voted
MIAR
2006
IEEE
15 years 9 months ago
Robust Click-Point Linking for Longitudinal Follow-Up Studies
This paper proposes a novel framework for robust click-point linking: efficient localized registration that allows users to interactively prescribe where the accuracy has to be hig...
Kazunori Okada, Xiaolei Huang, Xiang Zhou, Arun Kr...
176
Voted
AFRIGRAPH
2010
ACM
15 years 7 months ago
Progressive RBF interpolation
Interpolation based on Radial Basis Functions (RBF) is very often used for scattered scalar data interpolation in n-dimensional space in general. RBFs are used for surface reconst...
Václav Skala