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» Learning Iterative Image Reconstruction
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ECCV
2004
Springer
15 years 11 months ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
HIS
2008
14 years 11 months ago
A Sequential Learning Resource Allocation Network for Image Processing Applications
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
Stefan Wildermann, Jürgen Teich
CVPR
2008
IEEE
15 years 12 months ago
Face shape recovery from a single image using CCA mapping between tensor spaces
In this paper, we propose a new approach for face shape recovery from a single image. A single near infrared (NIR) image is used as the input, and a mapping from the NIR tensor sp...
Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li
VR
2010
IEEE
188views Virtual Reality» more  VR 2010»
14 years 8 months ago
Illuminating the past: state of the art
Virtual reconstruction and representation of historical environments and objects have been of research interest for nearly two decades. Physically-based and historically accurate ...
Jassim Happa, Mark Mudge, Kurt Debattista, Alessan...
ICASSP
2011
IEEE
14 years 1 months ago
Joint reduce of metal and beam hardening artifacts using Multi-Energy map approach in X-ray Computed Tomography
Metal and beam-hardening artifacts are tough issues in Computed Tomography (CT) images. This paper proposes an iterative Maximum A Posteriori (MAP) reconstruction algorithm aiming...
Yuling Zheng, Caifang Cai, Thomas Rodet