6568 search results - page 212 / 1314 » Reducing the Complexity of Reductions |
168
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CIARP
2006
Springer
15 years 10 months ago
2006
Springer
Linear dimensionality reduction (LDR) is quite important in pattern recognition due to its efficiency and low computational complexity. In this paper, we extend the two-class Chern...
135
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JSC
2008
15 years 6 months ago
2008
We describe algorithms for solving a given system of multivariate polynomial equations via the Rational Univariate Reduction (RUR). We compute the RUR from the toric resultant of ...
178
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ICCAD
2001
IEEE
16 years 3 months ago
2001
IEEE
—In this paper, we present an approach to nonlinear model reduction based on representing a nonlinear system with a piecewise-linear system and then reducing each of the pieces w...
174
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IPPS
2005
IEEE
16 years 6 days ago
2005
IEEE
The use of pipelined floating-point arithmetic cores to create high-performance FPGA-based computational kernels has introduced a new class of problems that do not exist when usi...
162
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PRL
2006
15 years 6 months ago
2006
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...