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NIPS
2008
15 years 8 months ago
Bayesian Kernel Shaping for Learning Control
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
Jo-Anne Ting, Mrinal Kalakrishnan, Sethu Vijayakum...
IJCV
2007
115views more  IJCV 2007»
15 years 6 months ago
Discovering Shape Classes using Tree Edit-Distance and Pairwise Clustering
This paper describes work aimed at the unsupervised learning of shape-classes from shock trees. We commence by considering how to compute the edit distance between weighted trees. ...
Andrea Torsello, Antonio Robles-Kelly, Edwin R. Ha...
CGF
2005
159views more  CGF 2005»
15 years 6 months ago
Real-Time Shape Editing using Radial Basis Functions
Current surface-based methods for interactive freeform editing of high resolution 3D models are very powerful, but at the same time require a certain minimum tessellation or sampl...
Mario Botsch, Leif Kobbelt
BMVC
2010
15 years 4 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ECCV
2004
Springer
16 years 8 months ago
Groupwise Diffeomorphic Non-rigid Registration for Automatic Model Building
We describe a framework for registering a group of images together using a set of non-linear diffeomorphic warps. The result of the groupwise registration is an implicit definition...
Timothy F. Cootes, Stephen Marsland, Carole J. Twi...