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NIPS
2008
15 years 1 months ago
Diffeomorphic Dimensionality Reduction
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
Christian Walder, Bernhard Schölkopf
ICASSP
2011
IEEE
14 years 3 months ago
Spiral colour model: Reduction from 3-D to 2-D
We define a new reduced model to represent coloured images. We propose to use two components for a full definition of a colour instead of three. To that end we take advantage of...
Frederic Garcia, Djamila Aouada, Bruno Mirbach, Bj...
IPPS
2000
IEEE
15 years 4 months ago
Reduction Optimization in Heterogeneous Cluster Environments
Network of workstation (NOW) is a cost-effective alternative to massively parallel supercomputers. As commercially available off-the-shelf processors become cheaper and faster, ...
Pangfeng Liu, Da-Wei Wang
ICC
2007
IEEE
245views Communications» more  ICC 2007»
15 years 6 months ago
Low Complexity MMSE Vector Precoding Using Lattice Reduction for MIMO Systems
—In this paper, a lattice-reduction-aided (LRA) With such an approximation, the complexity of VP is greatly minimum mean square error (MMSE) vector precoding (VP) is reduced. pro...
Feng Liu, Ling-ge Jiang, Chen He
CORR
2010
Springer
117views Education» more  CORR 2010»
14 years 12 months ago
Reductions Between Expansion Problems
The Small-Set Expansion Hypothesis (Raghavendra, Steurer, STOC 2010) is a natural hardness assumption concerning the problem of approximating the edge expansion of small sets in g...
Prasad Raghavendra, David Steurer, Madhur Tulsiani