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» On Approximating Multidimensional Probability Distributions ...
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ICONIP
2007
13 years 10 months ago
Natural Conjugate Gradient in Variational Inference
Variational methods for approximate inference in machine learning often adapt a parametric probability distribution to optimize a given objective function. This view is especially ...
Antti Honkela, Matti Tornio, Tapani Raiko, Juha Ka...
AMC
2006
84views more  AMC 2006»
13 years 8 months ago
Estimation of parameters in carbon sequestration models from net ecosystem exchange data
The use of net ecosystem exchange (NEE) data to estimate carbon transfer coefficients is investigated in the context of a deterministic compartmental carbon sequestration system. ...
Luther White, Frances White, Yiqi Luo, Tao Xu
SIGMETRICS
2010
ACM
152views Hardware» more  SIGMETRICS 2010»
13 years 7 months ago
A fluid approximation for large-scale service systems
We introduce and analyze a deterministic fluid model that serves as an approximation for the Gt/GI/st + GI manyserver queueing model, which has a general time-varying arrival pro...
Yunan Liu, Ward Whitt
CVPR
2007
IEEE
14 years 10 months ago
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...
Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. No...
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
14 years 2 months ago
Integration of Visual and Inertial Information for Egomotion: a Stochastic Approach
— We present a probabilistic framework for visual correspondence, inertial measurements and Egomotion. First, we describe a simple method based on Gabor filters to produce corre...
Justin Domke, Yiannis Aloimonos