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ICML
2004
IEEE
15 years 5 months ago
Learning a kernel matrix for nonlinear dimensionality reduction
We investigate how to learn a kernel matrix for high dimensional data that lies on or near a low dimensional manifold. Noting that the kernel matrix implicitly maps the data into ...
Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
117
Voted
GIAE
2004
Springer
187views Mathematics» more  GIAE 2004»
15 years 5 months ago
nD Object Representation and Detection from Single 2D Line Drawing
In this paper, we propose the wireframe representation of nD object, which is a single 2D line drawing. A wireframe model of an nD object is composed of a set of edges connecting a...
Hongbo Li, Quan Wang, Lina Zhao, Ying Chen, Lei Hu...
108
Voted
ICCS
2004
Springer
15 years 5 months ago
Velocity Field Modelling for Pollutant Plume Using 3-D Adaptive Finite Element Method
Air pollution models usually start from the computation of the velocity field of a fluid. In this paper, we present a model for computing that field based on the contribution of...
Gustavo Montero, Rafael Montenegro, José Ma...
ISMS
2004
Springer
15 years 5 months ago
Liver Vessel Parameter Estimation from Tactile Imaging Information
Realistic tissue models require accurate representations of the properties of in vivo tissue. This study examines the potential for tactile imaging to measure tissue properties an...
Anna M. Galea, Robert D. Howe
97
Voted
CGI
2003
IEEE
15 years 5 months ago
Fast Volumetric Display of Natural Gaseous Phenomena
Mesh simplification algorithms play an important role in computer graphics. In particular, view-dependent simplification methods are utilized widely to reduce the geometric comp...
Stefan Röttger, Thomas Ertl