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» A Combination Method for Generating Interpolants
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SMA
2010
ACM
219views Solid Modeling» more  SMA 2010»
14 years 12 months ago
Barycentric interpolation and mappings on smooth convex domains
In a recent paper, Warren, Schaefer, Hirani, and Desbrun proposed a simple method of interpolating a function defined on the boundary of a smooth convex domain, using an integral ...
Michael S. Floater, Jirí Kosinka
IJCNN
2007
IEEE
15 years 6 months ago
Dynamic Pooling for the Combination of Forecasts generated using Multi Level Learning
— In this paper we provide experimental results and extensions to our previous theoretical findings concerning the combination of forecasts that have been diversified by three ...
Silvia Riedel, Bogdan Gabrys
ICCV
2005
IEEE
16 years 1 months ago
Combining Generative Models and Fisher Kernels for Object Recognition
Learning models for detecting and classifying object categories is a challenging problem in machine vision. While discriminative approaches to learning and classification have, in...
Alex Holub, Max Welling, Pietro Perona
TASLP
2010
84views more  TASLP 2010»
14 years 10 months ago
Wideband and Isotropic Room Acoustics Simulation Using 2-D Interpolated FDTD Schemes
—In this paper, a complete method for finite-difference time-domain modeling of rooms in 2-D using compact explicit schemes is presented. A family of interpolated schemes using ...
Konrad Kowalczyk, Maarten van Walstijn
IROS
2008
IEEE
113views Robotics» more  IROS 2008»
15 years 6 months ago
Motion recognition and generation by combining reference-point-dependent probabilistic models
— This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned usin...
Komei Sugiura, Naoto Iwahashi