419 search results - page 9 / 84 » Performing Vector Quantization Using Reduced Data Representa... |
108
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TNN
2008
15 years 8 days ago
2008
Abstract--Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific re...
117
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
101
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ICDAR
2011
IEEE
13 years 12 months ago
2011
IEEE
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
We present a novel multilinear algebra based approach for reduced dimensionality representation of image ensembles. We treat an image as a matrix, instead of a vector as in tradit...
82
Voted
IJCNN
2006
IEEE
15 years 6 months ago
2006
IEEE
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...