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» Covariant Derivatives and Vision
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SGP
2003
14 years 11 months ago
Approximating and Intersecting Surfaces from Points
Point sets become an increasingly popular shape representation. Most shape processing and rendering tasks require the approximation of a continuous surface from the point data. We...
Anders Adamson, Marc Alexa
TSP
2008
178views more  TSP 2008»
14 years 9 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen
ICDM
2010
IEEE
147views Data Mining» more  ICDM 2010»
14 years 7 months ago
Location and Scatter Matching for Dataset Shift in Text Mining
Dataset shift from the training data in a source domain to the data in a target domain poses a great challenge for many statistical learning methods. Most algorithms can be viewed ...
Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
SCALESPACE
2007
Springer
15 years 3 months ago
Spatio-temporal Scale-Spaces
Abstract. A family of spatio-temporal scale-spaces suitable for a moving observer is developed. The scale-spaces are required to be time causal for being usable for real time measu...
Daniel Fagerström
DICTA
2009
14 years 7 months ago
Multi-projective Parameter Estimation for Sets of Homogeneous Matrices
A number of problems in computer vision require the estimation of a set of matrices, each of which is defined only up to an individual scale factor and represents the parameters of...
Wojciech Chojnacki, Rhys Hill, Anton van den Henge...