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139
Voted
ECCV
2008
Springer
15 years 5 months ago
2008
Springer
The segmentation method proposed in this paper is based on the observation that a single physical reflectance can have many different image values. We call the set of all these val...
132
Voted
FGR
2000
IEEE
15 years 8 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...
138
Voted
ICRA
2007
IEEE
15 years 10 months ago
2007
IEEE
— Most robotic vision algorithms are proposed by envisaging robots operating in structured environments where the world is assumed to be rigid. These algorithms fail to provide o...
136
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
171
Voted
CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...