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» Image Processing: Principles and Applications
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ICIP
2000
IEEE
14 years 2 months ago
Modelling Profiles with a Mixture of Gaussians
Point Distribution Models are useful tools for modelling the variability of particular classes of shapes. A common approach is to apply a Principle Component Analysis to the data,...
James Orwell, Darrel Greenhill, Jonathan D. Rymel,...
CALCO
2007
Springer
100views Mathematics» more  CALCO 2007»
14 years 4 months ago
Applications of Metric Coinduction
Metric coinduction is a form of coinduction that can be used to establish properties of objects constructed as a limit of finite approximations. One can prove a coinduction step s...
Dexter Kozen, Nicholas Ruozzi
SCALESPACE
2005
Springer
14 years 3 months ago
On Similarity-Invariant Fairness Measures
Abstract. After introducing the basic principles behind the similarityinvariant smoothness measures for curves and surfaces, with references to the relevant literature, we discuss ...
Alexander Brook, Alfred M. Bruckstein, Ron Kimmel
ICASSP
2009
IEEE
14 years 4 months ago
Separable PCA for image classification
As an alternative to standard PCA, matrix-based image dimensionality reduction methods have recently been proposed and have gained attention due to reported computational efficie...
Yongxin Taylor Xi, Peter J. Ramadge
ICIAP
2007
ACM
14 years 1 months ago
Computation of Binary Objects Sides Number using Discrete Geometry, Application to Automatic Pebbles Shape Analysis
We are working in collaboration with geographers to study a set of pebbles digital images. Among the features geographers want to get automatically, pebble sides number is intuiti...
Tristan Roussillon, Laure Tougne, Isabelle Sivigno...