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» Physically Based Deformable Models in Computer Graphics
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SDM
2009
SIAM
202views Data Mining» more  SDM 2009»
16 years 3 months ago
Proximity-Based Anomaly Detection Using Sparse Structure Learning.
We consider the task of performing anomaly detection in highly noisy multivariate data. In many applications involving real-valued time-series data, such as physical sensor data a...
Tsuyoshi Idé, Aurelie C. Lozano, Naoki Abe,...
TOG
2012
307views Communications» more  TOG 2012»
13 years 8 months ago
Ghost SPH for animating water
We propose a new ghost fluid approach for free surface and solid boundary conditions in Smoothed Particle Hydrodynamics (SPH) liquid simulations. Prior methods either suffer from...
Hagit Schechter, Robert Bridson
ACMDIS
2008
ACM
15 years 8 months ago
Sharing digital photographs in the home through physical mementos, souvenirs, and keepsakes
People now easily share digital photos outside the home via web publishing and gift-giving. Yet within the home, digital photos are hard to access and lack the physical affordance...
Michael Nunes, Saul Greenberg, Carman Neustaedter
ICASSP
2009
IEEE
15 years 10 months ago
Principal component analysis in decomposable Gaussian graphical models
We consider principal component analysis (PCA) in decomposable Gaussian graphical models. We exploit the prior information in these models in order to distribute its computation. ...
Ami Wiesel, Alfred O. Hero III
CVPR
2007
IEEE
16 years 8 months ago
Hierarchical Matching of Deformable Shapes
We describe a new hierarchical representation for twodimensional objects that captures shape information at multiple levels of resolution. This representation is based on a hierar...
Pedro F. Felzenszwalb, Joshua D. Schwartz