Sciweavers

1255 search results - page 9 / 251
» Nonparametric Background Generation
Sort
View
ICFP
2009
ACM
14 years 8 months ago
Non-parametric parametricity
Type abstraction and intensional type analysis are features seemingly at odds--type abstraction is intended to guarantee parametricity and representation independence, while type ...
Georg Neis, Derek Dreyer, Andreas Rossberg
CVPR
1998
IEEE
14 years 9 months ago
Texture Recognition Using a Non-Parametric Multi-Scale Statistical Model
We describe a technique for using the joint occurrence of local features at multiple resolutions to measure the similarity between texture images. Though superficially similar to ...
Jeremy S. De Bonet, Paul A. Viola
IJRR
2010
107views more  IJRR 2010»
13 years 6 months ago
Non-parametric Learning to Aid Path Planning over Slopes
— This paper addresses the problem of closing the loop from perception to action selection for unmanned ground vehicles, with a focus on navigating slopes. A new non-parametric l...
Sisir Karumanchi, Thomas Allen, Tim Bailey, Steve ...
ICCV
2007
IEEE
14 years 9 months ago
Non-Parametric Probabilistic Image Segmentation
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
BMCBI
2006
106views more  BMCBI 2006»
13 years 7 months ago
Methodological study of affine transformations of gene expression data with proposed robust non-parametric multi-dimensional nor
Background: Low-level processing and normalization of microarray data are most important steps in microarray analysis, which have profound impact on downstream analysis. Multiple ...
Henrik Bengtsson, Ola Hössjer