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» Computationally efficient regularized acoustic imaging
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PAMI
2008
391views more  PAMI 2008»
13 years 6 months ago
Riemannian Manifold Learning
Recently, manifold learning has been widely exploited in pattern recognition, data analysis, and machine learning. This paper presents a novel framework, called Riemannian manifold...
Tong Lin, Hongbin Zha
TOG
2002
212views more  TOG 2002»
13 years 5 months ago
Least squares conformal maps for automatic texture atlas generation
A Texture Atlas is an efficient color representation for 3D Paint Systems. The model to be textured is decomposed into charts homeomorphic to discs, each chart is parameterized, a...
Bruno Lévy, Sylvain Petitjean, Nicolas Ray,...
INFOVIS
2005
IEEE
13 years 11 months ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
VLSID
2002
IEEE
142views VLSI» more  VLSID 2002»
14 years 6 months ago
Address Code and Arithmetic Optimizations for Embedded Systems
An important class of problems used widely in both the embedded systems and scientific domains perform memory intensive computations on large data sets. These data sets get to be ...
J. Ramanujam, Satish Krishnamurthy, Jinpyo Hong, M...
CGF
2006
173views more  CGF 2006»
13 years 6 months ago
C-BDAM - Compressed Batched Dynamic Adaptive Meshes for Terrain Rendering
We describe a compressed multiresolution representation for supporting interactive rendering of very large planar and spherical terrain surfaces. The technique, called Compressed ...
Enrico Gobbetti, Fabio Marton, Paolo Cignoni, Marc...