785 search results - page 64 / 157 » Semi-Supervised Dimensionality Reduction |
123
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PRL
2006
15 years 3 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...
123
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ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We study the problem of discovering a manifold that best preserves information relevant to a nonlinear regression. Solving this problem involves extending and uniting two threads ...
120
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IROS
2007
IEEE
15 years 10 months ago
2007
IEEE
— Lie group symmetry in a mechanical system can lead to a dimensional reduction in its dynamical equations. Typically, the symmetries that one exploits are intrinsic to the mecha...
153
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SDM
2007
SIAM
15 years 5 months ago
2007
SIAM
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
149
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ICCS
2007
Springer
15 years 10 months ago
2007
Springer
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...