1364 search results - page 177 / 273 » Sampling Methods for Unsupervised Learning |
97
Voted
CVPR
2007
IEEE
16 years 4 months ago
2007
IEEE
Most of the online multimedia collections, such as picture galleries or video archives, are categorized in a fully manual process, which is very expensive and may soon be infeasib...
AUSAI
2007
Springer
15 years 8 months ago
2007
Springer
Dimensional reduction may be effective in order to compress data without loss of essential information. Also, it may be useful in order to smooth data and reduce random noise. The...
156
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PSIVT
2009
Springer
15 years 9 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
121
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INFOSCALE
2007
ACM
15 years 4 months ago
2007
ACM
In this paper, we propose a new method of citation data clustering for author name disambiguation. Most citation data appearing in the reference section of scientific papers incl...
128
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ICCV
2009
IEEE
16 years 7 months ago
2009
IEEE
Common visual codebook generation methods used in
a Bag of Visual words model, e.g. k-means or Gaussian
Mixture Model, use the Euclidean distance to cluster features
into visual...