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NIPS
2004
15 years 8 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang
MOC
2002
101views more  MOC 2002»
15 years 6 months ago
Proving the deterministic period breaking of linear congruential generators using two tile quasicrystals
We describe the design of a family of aperiodic PRNGs (APRNGs). We show how a one-dimensional two tile cut and project quasicrystal (2TQC) used in conjunction with LCGs in an APRNG...
Louis-Sebastien Guimond, Jiri Patera
FCCM
2005
IEEE
107views VLSI» more  FCCM 2005»
16 years 6 days ago
Simplifying the Integration of Processing Elements in Computing Systems Using a Programmable Controller
As technology sizes decrease and die area increases, designers are creating increasingly complex computing systems using FPGAs. To reduce design time for new products, the reuse o...
Lesley Shannon, Paul Chow
ICIP
2003
IEEE
16 years 8 months ago
Filter banks for multiple description coding
In this paper we review some of our recent results on the design of critically sampled and oversampled filter banks for multiple description coding. For the case of critically sam...
Pier Luigi Dragotti
ICIAR
2005
Springer
16 years 2 days ago
Soft-Switching Adaptive Technique of Impulsive Noise Removal in Color Images
In this paper a novel class of filters designed for the removal of impulsive noise in color images is presented. The proposed filter family is based on the kernel function which ...
Bogdan Smolka, Konstantinos N. Plataniotis