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» Learning Real-Time MRF Inference for Image Denoising
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ICCV
2011
IEEE
12 years 7 months ago
Gradient-based learning of higher-order image features
Recent work on unsupervised feature learning has shown that learning on polynomial expansions of input patches, such as on pair-wise products of pixel intensities, can improve the...
Roland Memisevic
WACV
2002
IEEE
14 years 10 days ago
Range Synthesis for 3D Environment Modeling
In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We develop a statistical learning method f...
Luz Abril Torres-Méndez, Gregory Dudek
SIAMIS
2011
13 years 2 months ago
Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models
Abstract. Many problems of low-level computer vision and image processing, such as denoising, deconvolution, tomographic reconstruction or superresolution, can be addressed by maxi...
Matthias W. Seeger, Hannes Nickisch
AAAI
2004
13 years 8 months ago
Reconstruction of 3D Models from Intensity Images and Partial Depth
This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an in...
Luz Abril Torres-Méndez, Gregory Dudek
MICCAI
2010
Springer
13 years 5 months ago
3D Knowledge-Based Segmentation Using Pose-Invariant Higher-Order Graphs
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
Chaohui Wang, Olivier Teboul, Fabrice Michel, Salm...