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103
Voted
CVPR
2007
IEEE
15 years 7 months ago
Optimized Color Sampling for Robust Matting
Image matting is the problem of determining for each pixel in an image whether it is foreground, background, or the mixing parameter, ”alpha”, for those pixels that are a mixt...
Jue Wang, Michael F. Cohen
ICML
2009
IEEE
16 years 1 months ago
Robust bounds for classification via selective sampling
We introduce a new algorithm for binary classification in the selective sampling protocol. Our algorithm uses Regularized Least Squares (RLS) as base classifier, and for this reas...
Nicolò Cesa-Bianchi, Claudio Gentile, Franc...
86
Voted
GMP
2006
IEEE
157views Solid Modeling» more  GMP 2006»
15 years 6 months ago
Density-Controlled Sampling of Parametric Surfaces Using Adaptive Space-Filling Curves
Abstract. Low-discrepancy point distributions exhibit excellent uniformity properties for sampling in applications such as rendering and measurement. We present an algorithm for ge...
J. A. Quinn, Frank C. Langbein, Ralph R. Martin, G...
109
Voted
SIGGRAPH
1995
ACM
15 years 4 months ago
Optimally combining sampling techniques for Monte Carlo rendering
Monte Carlo integration is a powerful technique for the evaluation of difficult integrals. Applications in rendering include distribution ray tracing, Monte Carlo path tracing, a...
Eric Veach, Leonidas J. Guibas
98
Voted
NIPS
2004
15 years 1 months ago
Worst-Case Analysis of Selective Sampling for Linear-Threshold Algorithms
We provide a worst-case analysis of selective sampling algorithms for learning linear threshold functions. The algorithms considered in this paper are Perceptron-like algorithms, ...
Nicolò Cesa-Bianchi, Claudio Gentile, Luca ...