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Article
Open AccessDeConFuse: a deep convolutional transform-based unsupervised fusion framework
This work proposes an unsupervised fusion framework based on deep convolutional transform learning. The great learning ability of convolutional filters for data analysis is well acknowledged. The success of co...
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Chapter and Conference Paper
Deep Convolutional Transform Learning
This work introduces a new unsupervised representation learning technique called Deep Convolutional Transform Learning (DCTL). By stacking convolutional transforms, our approach is able to learn a set of indep...
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Chapter and Conference Paper
Semi-coupled Transform Learning
This work introduces semi-coupled transform learning. Given training data in two domains (source and target), it learns a transform in each of the domains such that the corresponding coefficients are (linearl...
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Chapter and Conference Paper
Convolutional Transform Learning
This work proposes a new representation learning technique called convolutional transform learning. In standard transform learning, a dense basis is learned that analyses the image to generate the representati...