65 search results - page 6 / 13 » Multi-Dimensional Representations - How Many Dimensions |
137
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NIPS
2007
15 years 4 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
119
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
124
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PAMI
2011
14 years 10 months ago
2011
—Subspaces offer convenient means of representing information in many pattern recognition, machine vision, and statistical learning applications. Contrary to the growing populari...
148
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ICCV
2009
IEEE
15 years 28 days ago
2009
IEEE
With the popularity of "bag of visual terms" representations of images, many text indexing techniques have been applied in large-scale image retrieval systems. However, ...
115
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IWPC
1999
IEEE
15 years 7 months ago
1999
IEEE
For many years basic visualisation, based around simple boxes and lines, has been done in an attempt to be able to ease some of the cognitive overload caused by program comprehens...