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ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
14 years 1 months ago
SLAM using Incremental Probabilistic PCA and Dimensionality Reduction
— The recent progress in robot mapping (or SLAM) algorithms has focused on estimating either point features (such as landmarks) or grid-based representations. Both of these repre...
Emma Brunskill, Nicholas Roy
ECML
2005
Springer
14 years 1 months ago
Nonrigid Embeddings for Dimensionality Reduction
Spectral methods for embedding graphs and immersing data manifolds in low-dimensional speaces are notoriously unstable due to insufficient and/or numberically ill-conditioned con...
Matthew Brand
ANTS
2004
Springer
91views Algorithms» more  ANTS 2004»
14 years 1 months ago
Low-Dimensional Lattice Basis Reduction Revisited
Phong Q. Nguyen, Damien Stehlé
ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
14 years 1 months ago
Dimensionality Reduction Using Kernel Pooled Local Discriminant Information
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
Peng Zhang, Jing Peng, Carlotta Domeniconi