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In this paper, we introduce a new image representation based on a multilayer kernel machine.
Radial basis functions, multi-variable functional interpolation and adaptive networks
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Learning with kernels: support vector machines, regularization, optimization, and beyond
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Large scale multiple kernel learning
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Improved Nyström low-rank approximation and error analysis
K. Zhang, I. W. Tsang, and J. T. Kwok · 2008
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On single image scale-up using sparse-representations
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Object recognition with hierarchical kernel descriptors
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
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Deeply-supervised nets
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A universal catalyst for first-order optimization
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Local convolutional features with unsupervised training for image retrieval
M. Paulin, M. Douze, Z. Harchaoui, J. Mairal, F. Perronin, and C. Schmid · 2015
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Very deep convolutional networks for large-scale image recognition
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Learning a deep convolutional network for image super-resolution
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Convolutional kernel networks
J. Mairal, P. Koniusz, Z. Harchaoui, and C. Schmid · 2014
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Deep networks for image super-resolution with sparse prior
Z. Wang, D. Liu, J. Yang, W. Han, and T. Huang · 2015
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Image super-resolution using deep convolutional networks
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