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» Multi-Instance Dimensionality Reduction
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ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
15 years 10 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
136
Voted
ECML
2005
Springer
15 years 10 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
108
Voted
ANTS
2004
Springer
91views Algorithms» more  ANTS 2004»
15 years 10 months ago
Low-Dimensional Lattice Basis Reduction Revisited
Phong Q. Nguyen, Damien Stehlé
161
Voted
ICDM
2003
IEEE
153views Data Mining» more  ICDM 2003»
15 years 10 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