A survey on the new generation of deep learning in image processing
L Jiao, J Zhao - Ieee Access, 2019 - ieeexplore.ieee.org
During the past decade, deep learning is one of the essential breakthroughs made in
artificial intelligence. In particular, it has achieved great success in image processing …
artificial intelligence. In particular, it has achieved great success in image processing …
When dictionary learning meets deep learning: Deep dictionary learning and coding network for image recognition with limited data
We present a new deep dictionary learning and coding network (DDLCN) for image-
recognition tasks with limited data. The proposed DDLCN has most of the standard deep …
recognition tasks with limited data. The proposed DDLCN has most of the standard deep …
Spatiotemporal behind-the-meter load and PV power forecasting via deep graph dictionary learning
In recent years, with the rapid growth of rooftop photovoltaic (PV) generation in distribution
networks, power system operators call for accurate forecasts of the behind-the-meter (BTM) …
networks, power system operators call for accurate forecasts of the behind-the-meter (BTM) …
CNN-based super-resolution of hyperspectral images
Single-image super-resolution (SISR) techniques attempt to reconstruct the finer resolution
version of a given image from its coarser version. In the SISR of hyperspectral data sets, the …
version of a given image from its coarser version. In the SISR of hyperspectral data sets, the …
Deep network classification by scattering and homotopy dictionary learning
We introduce a sparse scattering deep convolutional neural network, which provides a
simple model to analyze properties of deep representation learning for classification …
simple model to analyze properties of deep representation learning for classification …
Discriminative semi-supervised learning via deep and dictionary representation for image classification
Supervised dictionary learning and deep learning have achieved promising performance in
the classification task. However, in many real-world applications there usually exist very …
the classification task. However, in many real-world applications there usually exist very …
Augmented reality dynamic image recognition technology based on deep learning algorithm
Q Cheng, S Zhang, S Bo, D Chen, H Zhang - IEEE Access, 2020 - ieeexplore.ieee.org
Augmented reality is a research hotspot developed on the basis of virtual reality. Friendly
human-computer interaction interface makes the application prospect of augmented reality …
human-computer interaction interface makes the application prospect of augmented reality …
A novel multi-layer discriminative dictionary learning approach for image classification
D Zhao, P Zhang, H Yin, J Guo - Signal Processing, 2025 - Elsevier
Discriminative dictionary learning (DDL) has been confirmed to be effective for image
classification. However, existing DDL approaches often fail to extract deep hierarchical …
classification. However, existing DDL approaches often fail to extract deep hierarchical …
Analysis dictionary learning based classification: Structure for robustness
A discriminative structured analysis dictionary is proposed for the classification task. A
structure of the union of subspaces (UoS) is integrated into the conventional analysis …
structure of the union of subspaces (UoS) is integrated into the conventional analysis …
MADPL-net: Multi-layer attention dictionary pair learning network for image classification
With the great success of deep neural networks, combining deep learning with traditional
dictionary learning has become a hot issue. However, the performance of these methods is …
dictionary learning has become a hot issue. However, the performance of these methods is …