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» Fast semi-supervised image segmentation by novelty selection
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TMI
2008
85views more  TMI 2008»
13 years 7 months ago
Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design
We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximat...
Adam C. Zelinski, Lawrence L. Wald, K. Setsompop, ...
ICPR
2002
IEEE
14 years 9 days ago
Robust Frontal Face Detection in Complex Environment
We have constructed a simple and fast system to detect frontal human faces in complex environment. There are two main contributions of our work: 1) We use a fast image segmentatio...
Quan Yuan, Wen Gao, Hongxun Yao
ECCV
1992
Springer
13 years 11 months ago
Data and Model-Driven Selection using Color Regions
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
Tanveer Fathima Syeda-Mahmood
CVPR
2012
IEEE
11 years 9 months ago
Weakly supervised structured output learning for semantic segmentation
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
Alexander Vezhnevets, Vittorio Ferrari, Joachim M....
CVIU
2011
12 years 11 months ago
Graph-based quadratic optimization: A fast evolutionary approach
Quadratic optimization lies at the very heart of many structural pattern recognition and computer vision problems, such as graph matching, object recognition, image segmentation, ...
Samuel Rota Bulò, Marcello Pelillo, Immanue...