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» Regularization Methods for Additive Models
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WWW
2008
ACM
16 years 11 days ago
Topic modeling with network regularization
In this paper, we formally define the problem of topic modeling with network structure (TMN). We propose a novel solution to this problem, which regularizes a statistical topic mo...
Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai
IROS
2007
IEEE
90views Robotics» more  IROS 2007»
15 years 6 months ago
Improved likelihood models for probabilistic localization based on range scans
— Range sensors are popular for localization since they directly measure the geometry of the local environment. Another distinct benefit is their typically high accuracy and spa...
Patrick Pfaff, Christian Plagemann, Wolfram Burgar...
ECCV
2008
Springer
16 years 1 months ago
Regular Texture Analysis as Statistical Model Selection
An approach to the analysis of images of regular texture is proposed in which lattice hypotheses are used to define statistical models. These models are then compared in terms of t...
Junwei Han, Stephen J. McKenna, Ruixuan Wang
VC
2008
93views more  VC 2008»
14 years 11 months ago
Vortex methods for incompressible flow simulations on the GPU
We present a remeshed vortex particle method for incompressible flow simulations on GPUs. The particles are convected in a Lagrangian frame and are periodically reinitialized on a ...
Diego Rossinelli, Petros Koumoutsakos
ICCS
2003
Springer
15 years 4 months ago
Parallelisation of Sparse Grids for Large Scale Data Analysis
Sparse Grids are the basis for efficient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Jochen Garcke, Markus Hegland, Ole Møller N...