Sciweavers

389 search results - page 9 / 78
» Advances in Computation of the Maximum of a Set of Random Va...
Sort
View
SADM
2011
13 years 3 months ago
Random survival forests for high-dimensional data
: Minimal depth is a dimensionless order statistic that measures the predictiveness of a variable in a survival tree. It can be used to select variables in high-dimensional problem...
Hemant Ishwaran, Udaya B. Kogalur, Xi Chen, Andy J...
CVPR
2008
IEEE
14 years 10 months ago
Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition
In this paper we introduce a template-based method for recognizing human actions called Action MACH. Our approach is based on a Maximum Average Correlation Height (MACH) filter. A...
Mikel D. Rodriguez, Javed Ahmed, Mubarak Shah
ICCV
2011
IEEE
12 years 8 months ago
Are Spatial and Global Constraints Really Necessary for Segmentation?
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
Aurelien Lucchi, Yunpeng Li, Xavier Boix, Kevin Sm...
FOCS
2008
IEEE
14 years 3 months ago
Constant-Time Approximation Algorithms via Local Improvements
We present a technique for transforming classical approximation algorithms into constant-time algorithms that approximate the size of the optimal solution. Our technique is applic...
Huy N. Nguyen, Krzysztof Onak
CGF
2005
138views more  CGF 2005»
13 years 8 months ago
Approximation of a Variable Density Cloud of Points by Shrinking a Discrete Membrane
This paper describes a method to obtain a closed surface that approximates a general 3D data point set with non-uniform density. Aside from the positions of the initial data point...
Jordi Esteve, Pere Brunet, Alvar Vinacua