791 search results - page 67 / 159 » Non-Linear Dimensionality Reduction |
130
Voted
ICML
2007
IEEE
16 years 5 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 ...
124
Voted
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...
159
Voted
SDM
2007
SIAM
15 years 6 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...
155
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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...
115
Voted
GECCO
2006
Springer
15 years 8 months ago
2006
Springer
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...