Dictionary learning
Kernel Collaborative Representation Classification Based on Adaptive Dictionary Learning
... conventional dictionary learning methods lacking adaptability, we propose a kernel collaborative representation classification based on adaptive dictionary ...adaptive dictionary ...
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Person Re identification with Discriminative Dictionary Learning
... by learning an over-complete dictionary from a training dataset of nature image ...and dictionary learning ...coupled dictionary learning to bridge the human appearance ...
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Arbitrary View Action Recognition via Transfer Dictionary Learning on Synthetic Training Data
... transfer dictionary learning. The trained dictionary is used to project real world 2D video into a view-invariant sparse representation, facilitating an arbitrary view action ...
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Image Super-Resolution Reconstruction Based On Multi-Dictionary Learning
... single dictionary cannot be adapted to variety types of images and the reconstruction quality couldn’t meet the application, we propose a novel Multi-Dictionary Learning algorithm for feature ...
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Low-dose CT reconstruction via L1 dictionary learning regularization using iteratively reweighted least-squares
... Background: In order to reduce the radiation dose of CT (computed tomography), compressed sensing theory has been a hot topic since it provides the possibility of a high quality recovery from the sparse sampling data. ...
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Fast dictionary learning from incomplete data
... For learning a low-rank atom, we use 10 itera- tions on all available patch/mask pairs, whereas for the dictionary learning step, we use 40 iterations on all avail- able patch/mask pairs for both ...
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Combined Dictionary Learning in Facial Expression Recognition
... of dictionary learning is not as good as Gabor+PCA+FLD [1], the av- erage time of testing one image is more than 100 times ...of dictionary learning. This indicates that dictionary ...
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Background Subtraction via Robust Dictionary Learning
... learned dictionary, each atom of which characterizes one of the background ...a dictionary learning problem, and the foreground detection step as a modified sparse coding ...
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Fingerprint Compression Based On Online Dictionary Learning and Orthogonal Matching Pursuit
... complete dictionary is constructed and the patches are represented as a sparse linear combination of dictionary ...constructing dictionary and MP (Matching Pursuit) algorithm to solve the l 0 ...
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An augmented Lagrangian multi-scale dictionary learning algorithm
... for dictionary learning problem by adding dictionary updating ...fixed dictionary, we can modify and extend them to our dictionary learning problem for comparison purpose, ...
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Decentralized Dictionary Learning Over Time-Varying Digraphs
... studies Dictionary Learning problems wherein the learning task is distributed over a multi-agent network, modeled as a time-varying directed ...for Dictionary Learning and, more ...
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Orthogonality-Promoting Dictionary Learning via Bayesian Inference
... Bayesian dictionary learning ...the dictionary atoms. This regularizer encourages the dictionary atoms to be close to being orthogonal, which not only can alleviate overfitting to training ...
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Online non negative discriminative dictionary learning for tracking
... discriminative dictionary learning is to enhance the discriminative ability of the coefficient vec- tor while learning the ...two learning strategies: the global dictionary ...
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Dictionary Learning for Scalable Sparse Image Representation with Applications
... The proposed procedure is mainly motivated by the HVS functional mechanism properties. Specifically, human eyes tend to pay more attention to the edges of an ob- ject given the high firing rate of the visual cortex neu- ...
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Biologically Inspired Dictionary Learning for Visual Pattern Recognition
... proposed learning algorithm can be implemented in parallel processing which makes it efficient for real-time ...sparse dictionary learning to recognize emotion using body ...
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A Fast Dictionary Learning Algorithm for Image Denoising
... and learning, and this conversion breaks down the inherent structure of the ...for dictionary learning came up to replace the ...a dictionary pair learning model (DPL model) for image ...
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Application of Linearized Alternating Direction Multiplier Method in Dictionary Learning
... The Alternating Direction Multiplier Method (ADMM) is widely used in various fields, and different variables are customized in the literature for dif- ferent application scenarios [1] [2] [3] [4]. Among them, the ...
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Single image super-resolution by directionally structured coupled dictionary learning
... the dictionary learning to get the compact dictio- ...the dictionary atoms and designed structured dictionaries from those orthogonal ...the dictionary learning process there is no ...
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Improved Reconstruction for Cardiac MRI using Coupled Dictionary Learning
... valued dictionary which is trained on real and imaginary parts of MR data for their independent coding we look at the differences between these two learning and coding strategies for the processing of MR ...
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The Sample Complexity of Dictionary Learning
... a dictionary D is known that sparsely rep- resents simultaneously many ...the dictionary is chosen based on prior knowledge, but in many applications the dictionary is learned based on a finite set ...
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