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» Applying VC-dimension Analysis To Object Recognition
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CVPR
2008
IEEE
14 years 10 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
ICDAR
2003
IEEE
14 years 1 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
IBPRIA
2007
Springer
14 years 2 months ago
Invariant Multi-scale Object Categorisation and Recognition
Object recognition requires that templates with canonical views are stored in memory. Such templates must somehow be normalised. In this paper we present a novel method for obtaini...
João Rodrigues, J. M. Hans du Buf
IBPRIA
2005
Springer
14 years 2 months ago
A Learning Framework for Object Recognition on Image Understanding
Abstract. In this paper an object learning system for image understanding is proposed. The knowledge acquisition system is designed as a supervised learning task, which emphasises ...
Xavier Muñoz, Anna Bosch, Joan Martí...
ICIAR
2005
Springer
14 years 2 months ago
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology
We have developed a generic ontology of objects, and a knowledge base of everyday physical objects. Objects are represented as assemblies of functional features and their spatial r...
Dongil Han, Bum-Jae You, Yong Se Kim, Il Hong Suh