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» Semi-Supervised Dimensionality Reduction
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JSAC
2000
134views more  JSAC 2000»
14 years 9 months ago
Adaptive multidimensional coded modulation over flat fading channels
We introduce a general adaptive coding scheme for Nakagami multipath fading channels. An instance of the coding scheme utilizes a set of 2 -dimensional (2 -D) trellis codes origina...
Kjell Jørgen Hole, Henrik Holm, Geir E. &Os...
CGF
1998
134views more  CGF 1998»
14 years 9 months ago
Progressive Iso-Surface Extraction from Hierarchical 3D Meshes
A multiresolution data decomposition offers a fundamental framework supporting compression, progressive transmission, and level-of-detail (LOD) control for large two or three dime...
Wenli Cai, Georgios Sakas, Roberto Grosso, Thomas ...
NN
2002
Springer
226views Neural Networks» more  NN 2002»
14 years 9 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
TOG
2002
125views more  TOG 2002»
14 years 9 months ago
Perspective shadow maps
Shadow maps are probably the most widely used means for the generation of shadows, despite their well known aliasing problems. In this paper we introduce perspective shadow maps, ...
Marc Stamminger, George Drettakis
PR
2007
88views more  PR 2007»
14 years 9 months ago
Robust kernel Isomap
Isomap is one of widely-used low-dimensional embedding methods, where geodesic distances on a weighted graph are incorporated with the classical scaling (metric multidimensional s...
Heeyoul Choi, Seungjin Choi