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174
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ECCV
2004
Springer
16 years 8 months ago
2004
Springer
We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
175
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ECCV
2000
Springer
16 years 8 months ago
2000
Springer
This paper describes a novel view-based learning algorithm for 3D object recognition from 2D images using a network of linear units. The SNoW learning architecture is a sparse netw...
236
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DICTA
2008
15 years 8 months ago
2008
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
155
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ICRA
2010
IEEE
15 years 5 months ago
2010
IEEE
— In this paper we propose a method of high-speed 3D object recognition using linear subspace method and our 3D features. This method can be applied to partial models with any si...
203
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ICCV
2007
IEEE
16 years 8 months ago
2007
IEEE
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...