835 search results - page 110 / 167 » Optimal Linear Representations of Images for Object Recognit... |
110
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MM
2004
ACM
15 years 5 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
100
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CEC
2007
IEEE
15 years 6 months ago
2007
IEEE
Abstract— Target shape design optimization problem (TSDOP) is a miniature model for real world design optimization problems. It is proposed as a test bed to design and analyze op...
DEXA
2004
Springer
15 years 5 months ago
2004
Springer
This work presents a study of the nature of expertise in geology, which demands visual recognition methods to describe and interpret petroleum reservoir rocks. In an experiment usi...
PAMI
2002
14 years 11 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
203
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GIS
2007
ACM
16 years 27 days ago
2007
ACM
In this paper we present a novel system for the detection and extraction of road map information from high-resolution satellite imagery. Uniquely, the proposed system is an integr...