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ECCV
2010
Springer
15 years 9 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
129
Voted
BMCBI
2007
101views more  BMCBI 2007»
15 years 3 months ago
Robust detection and verification of linear relationships to generate metabolic networks using estimates of technical errors
Background: The size and magnitude of the metabolome, the ratio between individual metabolites and the response of metabolic networks is controlled by multiple cellular factors. A...
Frank Kose, Jan Budczies, Matthias Holschneider, O...
137
Voted
SMA
2009
ACM
132views Solid Modeling» more  SMA 2009»
15 years 10 months ago
Robust Voronoi-based curvature and feature estimation
Many algorithms for shape analysis and shape processing rely on accurate estimates of differential information such as normals and curvature. In most settings, however, care must...
Quentin Mérigot, Maks Ovsjanikov, Leonidas ...
121
Voted
ICML
2004
IEEE
16 years 4 months ago
A MFoM learning approach to robust multiclass multi-label text categorization
We propose a multiclass (MC) classification approach to text categorization (TC). To fully take advantage of both positive and negative training examples, a maximal figure-of-meri...
Sheng Gao, Wen Wu, Chin-Hui Lee, Tat-Seng Chua
150
Voted
SI3D
2009
ACM
15 years 10 months ago
Soft irregular shadow mapping: fast, high-quality, and robust soft shadows
We introduce a straightforward, robust, and efficient algorithm for rendering high-quality soft shadows in dynamic scenes. Each frame, points in the scene visible from the eye ar...
Gregory S. Johnson, Warren A. Hunt, Allen Hux, Wil...