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CVPR
2010
IEEE
13 years 9 months ago
Robust RVM regression using sparse outlier model
Kernel regression techniques such as Relevance Vector Machine (RVM) regression, Support Vector Regression and Gaussian processes are widely used for solving many computer vision p...
Kaushik Mitra, Ashok Veeraraghavan, Rama Chellappa
SIGGRAPH
1999
ACM
14 years 1 months ago
Tracing Ray Differentials
Antialiasing of ray traced images is typically performed by supersampling the image plane. While this type of filtering works well for many algorithms, it is much more efficient t...
Homan Igehy
ACCV
1998
Springer
14 years 1 months ago
Digital Geometric Methods in Image Analysis and Compression
One of the important problems related to image analysis and compression is finding repeated structure. Although the focus of this paper is developing digital geometric models and m...
Ari D. Gross, Longin Jan Latecki
KI
2009
Springer
14 years 3 months ago
Planning with h +  in Theory and Practice
Abstract. Many heuristic estimators for classical planning are based on the socalled delete relaxation, which ignores negative effects of planning operators. Ideally, such heuristi...
Christoph Betz, Malte Helmert
MICCAI
2009
Springer
14 years 9 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...