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NIPS
2004
15 years 5 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»
15 years 9 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
159
Voted
GRAPHICSINTERFACE
2000
15 years 5 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...
121
Voted
ICDAR
2003
IEEE
15 years 9 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
14 years 10 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&...