134 search results - page 10 / 27 » Random Projections for Manifold Learning |
UAI
2000
13 years 11 months ago
2000
Recent theoretical work has identified random projection as a promising dimensionality reduction technique for learning mixtures of Gaussians. Here we summarize these results and ...
ICRA
2009
IEEE
14 years 4 months ago
2009
IEEE
Abstract— We present the Constrained Bi-directional RapidlyExploring Random Tree (CBiRRT) algorithm for planning paths in configuration spaces with multiple constraints. This al...
COMPGEOM
2010
ACM
14 years 1 months ago
2010
ACM
We give a provably correct algorithm to reconstruct a kdimensional manifold embedded in d-dimensional Euclidean space. Input to our algorithm is a point sample coming from an unkn...
ICANN
2009
Springer
14 years 4 months ago
2009
Springer
Backpropagation of errors is not only hard to justify from biological perspective but also it fails to solve problems requiring complex logic. A simpler algorithm based on generati...
AAAI
2007
14 years 4 days ago
2007
A natural representation of data is given by the parameters which generated the data. If the space of parameters is continuous, then we can regard it as a manifold. In practice, w...