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NIPS
2004
13 years 11 months ago
Support Vector Classification with Input Data Uncertainty
This paper investigates a new learning model in which the input data is corrupted with noise. We present a general statistical framework to tackle this problem. Based on the stati...
Jinbo Bi, Tong Zhang
SMI
2006
IEEE
130views Image Analysis» more  SMI 2006»
14 years 4 months ago
Material-Aware Mesh Deformations
Most real world objects consist of non-uniform materials; as a result, during deformation the bending and shearing are distributed non-uniformly and depend on the local stiffness ...
Tiberiu Popa, Dan Julius, Alla Sheffer
GRAPHICSINTERFACE
2000
13 years 11 months ago
Using a 3D Puzzle as a Metaphor for Learning Spatial Relations
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
Bernhard Preim, Felix Ritter, Oliver Deussen, Thom...
ICDAR
2003
IEEE
14 years 3 months ago
A Constraint-based Approach to Table Structure Derivation
er presents an approach to deriving an abstract geometric model of a table from a physical representation. The technique developed uses a graph of constraints between cells which ...
Matthew Hurst
VRIPHYS
2010
13 years 5 months ago
Interactive Deformations with Multigrid Skeletal Constraints
In this paper we present an interactive method for simulating deformable objects using skeletal constraints. We introduce a two-way coupling of a finite element model and a skelet...
Joachim Georgii, Daniel Lagler, Christian Dick, R&...