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ICRA
2005
IEEE
102views Robotics» more  ICRA 2005»
15 years 9 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
111
Voted
ICASSP
2008
IEEE
15 years 9 months ago
Worst- and average-case complexity of LLL lattice reduction in MIMO wireless systems
Lattice reduction by means of the LLL algorithm has been previously suggested as a powerful preprocessing tool that allows to improve the performance of suboptimal detectors and t...
Joakim Jalden, Dominik Seethaler, Gerald Matz
117
Voted
ICPR
2010
IEEE
15 years 8 months ago
On the Dimensionality Reduction for Sparse Representation Based Face Recognition
Face recognition (FR) is an active yet challenging topic in computer vision applications. As a powerful tool to represent high dimensional data, recently sparse representation bas...
Lei Zhang, Meng Yang, Zhizhao Feng, David Zhang
VLDB
2007
ACM
174views Database» more  VLDB 2007»
16 years 3 months ago
An adaptive and dynamic dimensionality reduction method for high-dimensional indexing
Abstract The notorious "dimensionality curse" is a wellknown phenomenon for any multi-dimensional indexes attempting to scale up to high dimensions. One well-known approa...
Heng Tao Shen, Xiaofang Zhou, Aoying Zhou
ENTCS
2007
99views more  ENTCS 2007»
15 years 3 months ago
Extending Symmetry Reduction Techniques to a Realistic Model of Computation
Much of the literature on symmetry reductions for model checking assumes a simple model of computation where the local state of each component in a concurrent system can be repres...
Alastair F. Donaldson, Alice Miller