1313 search results - page 84 / 263 » Dimensionality Reduction for Classification |
140
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SYRCODIS
2007
15 years 4 months ago
2007
High complexity of lattice construction algorithms and uneasy way of visualising lattices are two important problems connected with the formal concept analysis. Algorithm complexi...
137
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LATINCRYPT
2010
15 years 1 months ago
2010
We describe an FPGA accelerator for the Kannan–Fincke– Pohst enumeration algorithm (KFP) solving the Shortest Lattice Vector Problem (SVP). This is the first FPGA implementati...
138
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CIKM
2008
Springer
15 years 5 months ago
2008
Springer
Random projection (RP) is a common technique for dimensionality reduction under L2 norm for which many significant space embedding results have been demonstrated. However, many si...
145
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NIPS
2004
15 years 4 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
133
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BMCBI
2007
15 years 3 months ago
2007
Background: The most popular methods for significance analysis on microarray data are well suited to find genes differentially expressed across predefined categories. However, ide...