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» Geometrical plenoptic sampling
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142
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NIPS
2008
15 years 3 months ago
Hierarchical Fisher Kernels for Longitudinal Data
We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
Zhengdong Lu, Todd K. Leen, Jeffrey Kaye
CG
2008
Springer
15 years 1 months ago
A simple and flexible framework to adapt dynamic meshes
Many graphics applications represent deformable surfaces through dynamic meshes. To be consistent during deformations, the dynamic meshes require an adaptation process. In this pa...
Fernando de Goes, Siome Goldenstein, Luiz Velho
123
Voted
CGF
2008
87views more  CGF 2008»
15 years 13 days ago
Provably Good 2D Shape Reconstruction from Unorganized Cross-Sections
This paper deals with the reconstruction of 2-dimensional geometric shapes from unorganized 1-dimensional cross-sections. We study the problem in its full generality following the...
Pooran Memari, Jean-Daniel Boissonnat
167
Voted
SENSYS
2006
ACM
15 years 7 months ago
Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
Nisheeth Shrivastava, Raghuraman Mudumbai, Upamany...
SGP
2007
15 years 4 months ago
Robust statistical estimation of curvature on discretized surfaces
A robust statistics approach to curvature estimation on discretely sampled surfaces, namely polygon meshes and point clouds, is presented. The method exhibits accuracy, stability ...
Evangelos Kalogerakis, Patricio D. Simari, Derek N...