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ICPR
2000
IEEE
14 years 8 months ago
Invariant Image Object Recognition Using Mixture Densities
In this paper we present a mixture density based approach to invariant image object recognition. We start our experiments using Gaussian mixture densities within a Bayesian classi...
Daniel Keysers, Hermann Ney, Jörg Dahmen, Mar...
GREC
2009
Springer
13 years 11 months ago
Symbol Recognition Using a Concept Lattice of Graphical Patterns
Abstract. In this paper we propose a new approach to recognize symbols by the use of a concept lattice. We propose to build a concept lattice in terms of graphical patterns. Each m...
Marçal Rusiñol, Karell Bertet, Jean-...
PR
2000
82views more  PR 2000»
13 years 7 months ago
Holistic recognition of handwritten character pairs
Researchers have thus far focused on the recognition of alpha and numeric characters in isolation as well as in context. In this paper we introduce a new genre of problems where t...
Xian Wang, Venu Govindaraju, Sargur N. Srihari
CORR
2007
Springer
183views Education» more  CORR 2007»
13 years 7 months ago
A complete set of rotationally and translationally invariant features for images
We propose a new set of rotationally and translationally invariant features for image or pattern recognition and classification. The new features are cubic polynomials in the pix...
Risi Imre Kondor
ICML
2008
IEEE
14 years 8 months ago
Graph kernels between point clouds
Point clouds are sets of points in two or three dimensions. Most kernel methods for learning on sets of points have not yet dealt with the specific geometrical invariances and pra...
Francis R. Bach