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Data representation learning via dictionary learning and self-representation
Dictionary learning is an effective feature learning method, leading to many remarkable results in data representation and classification tasks....
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Image super-resolution reconstruction based on deep dictionary learning and A+
The method of image super-resolution reconstruction through the dictionary usually only uses a single-layer dictionary, which not only cannot extract...
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Deep discriminative dictionary pair learning for image classification
Discriminative dictionary learning has been extensively used for pattern classification tasks. By incorporating different kinds of label information...
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Relaxed support vector based dictionary learning for image classification
Discriminative dictionary learning (DDL) has attracted significant attention in the field of image classification. To enhance the classification...
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Interactive and discriminative analysis dictionary learning for image classification
Dictionary learning is widely utilized in pattern recognition, and analysis dictionary learning is a prevalent image classification method. However,...
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Double-constrained structured discriminant analysis-synthesis dictionary pair learning for pattern classification
Existing discriminant analysis-synthesis dictionary pair learning (ASDPL) methods learn a structured analysis dictionary containing multiple...
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Dictionary learning for unsupervised feature selection via dual sparse regression
With unlabeled and high-dimensional data explosion, unsupervised feature selection has become an essential step in many machine learning and data...
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Fingerprint image super-resolution based on multi-class deep dictionary learning and ridge prior
The identification of low-resolution fingerprints has always been one of the focuses in the field of biometric identification. This paper proposes a...
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Self-eliminating Discriminant Analysis Dictionary Learning for Pattern Classification
As a branch of dictionary learning (DL), analysis dictionary learning has been widely used for pattern classification, which achieves outstanding...
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Jointly projection and graph-regularization coupled discriminative dictionary learning for image classification
Analysis synthesis dictionary pair learning methods have achieved good performance in image classification. Due to the redundancy contained in the...
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A two-phase projective dictionary pair learning-based classification scheme for positive and unlabeled learning
With the recent surge of interest in machine learning, Positive and Unlabeled learning (PU learning) has also attracted much attention of scholars. A...
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Multi-class differentiation feature representation guided joint dictionary learning for facial expression recognition
The limitation of the small-scale expression samples generally causes the performance degradation for facial expression recognition-based methods....
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Performance evaluation of Dictionary Learning and ICA on Parkinson’s patients classification using Machine Learning
Currently, extensive research is being conducted in the application of Machine Learning (ML) algorithms in the medical domain and one such area is...
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A dictionary learning algorithm for denoising polynomial phase signal based on neural networks
Under the influence of additive white Gaussian noise, most dictionary learning algorithms whose training data come from the noisy signal cannot...
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Dictionary learning-based image super-resolution for multimedia devices
In multimedia devices such as mobile phones, surveillance cameras, and web cameras, image sensors have limited spatial resolution. As a result, the...
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Class-oriented and label embedding analysis dictionary learning for pattern classification
Analysis dictionary learning (ADL) has obtained lots of research interest in sparse representation-based classification recent years, due to its...
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Class-oriented discriminative twin reconstructions dictionary pair learning for visual recognition
Projective dictionary pair learning (DPL) and its variations have shown particular effectiveness for pattern classification due to their powerful...
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Multi-pose face reconstruction and Gabor-based dictionary learning for face recognition
Many methods based on data and model analysis have been proposed to overcome the adverse effect of poses, occlusion, and illumination on face...
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Combining deep subspace feature representation based IKPCANet and jointly constraint multi-dictionary learning for facial expression recognition
The limitation of the small-scale expression samples generally causes the performance degradation for facial expression recognition-based methods....
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Shared Dictionary Learning Via Coupled Adaptations for Cross-Domain Classification
Dictionary learning has drawn increasing attention for its impressive performance in obtaining the high-fidelity representations of data and...
