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CSDA
2008
89views more  CSDA 2008»
14 years 9 months ago
Projection density estimation under a m-sample semiparametric model
An m-sample semiparametric model in which the ratio of m - 1 probability density functions with respect to the mth is of a known parametric form without reference to any parametri...
Jean-Baptiste Aubin, Samuela Leoni-Aubin
MVA
1990
101views Computer Vision» more  MVA 1990»
14 years 11 months ago
Recognition of Parametrised Models from 3D Data
This paper describes work done as part of the Oxford AGV (Autonomous Guided Vehicle) project [2] towards recognition of classes of objects to be encountered in a factory environme...
Ian D. Reid
ECCV
2010
Springer
14 years 7 months ago
Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model
Abstract. This work focuses on characterizing scenery images. We semantically divide the objects in natural landscape scenes into background and foreground and show that the shapes...
Tamar Avraham, Michael Lindenbaum
CSDA
2010
208views more  CSDA 2010»
14 years 9 months ago
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
We consider mixtures of parametric densities on the positive reals with a normalized generalized gamma process (Brix, 1999) as mixing measure. This class of mixtures encompasses t...
Raffaele Argiento, Alessandra Guglielmi, Antonio P...
3DPVT
2006
IEEE
178views Visualization» more  3DPVT 2006»
15 years 1 months ago
Shape Analysis and Spatio-Temporal Tracking of Mesoscale Eddies in Miami Isopycnic Coordinate Ocean Model
Detection and analysis of ocean surface phenomena have so far relied on manual analysis of long sequences of satellite images or images produced from the mathematical models. In t...
Veena Moolani, Ramprasad Balasubramanian, Li Shen,...