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Nature, ISSN 0028-0836, 09/2017, Volume 549, Issue 7671, pp. 195 - 202
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 03/2013, Volume 61, Issue 5, pp. 1072 - 1086
Journal Article
Neural Networks, ISSN 0893-6080, 10/2019, Volume 118, pp. 271 - 279
Recurrent neural networks (RNN) model time series by feeding back the representation from the previous time instant as an input for the current instant along... 
Transform learning | Dynamical model | Load forecasting | Demand forecasting | NEURAL-NETWORKS | LOAD | MODEL | NEUROSCIENCES | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Journal Article
IEEE Transactions on Circuits and Systems for Video Technology, ISSN 1051-8215, 1/2019, pp. 1 - 1
One key challenge to learning-based video compression is that motion predictive coding, a very effective tool for video compression, can hardly be trained into... 
Video coding | Image coding | Codecs | Transform coding | Video compression | PixelMotionCNN | learning | Spatiotemporal phenomena | Image reconstruction
Journal Article
IEEE Transactions on Signal Processing, ISSN 1053-587X, 08/2017, Volume 65, Issue 16, pp. 4367 - 4378
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 02/2017, Volume 39, Issue 2, pp. 356 - 370
Journal Article
Pattern Recognition, ISSN 0031-3203, 04/2014, Volume 47, Issue 4, pp. 1559 - 1572
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 10/2017, Volume 98, pp. 117 - 122
This work proposes kernel transform learning. The idea of dictionary learning is well known; it is a synthesis formulation where a basis is learnt along with... 
Kernel trick | Transform learning | Dictionary learning | ALGORITHM | K-SVD | DICTIONARY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Machine learning
Journal Article
IEEE Transactions on Pattern Analysis and Machine Intelligence, ISSN 0162-8828, 01/2010, Volume 32, Issue 1, pp. 105 - 119
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2017, Volume 26, Issue 7, pp. 3142 - 3155
Journal Article
Neural Computation, ISSN 1530-888X, 02/2000, Volume 12, Issue 2, pp. 337 - 365
In an overcomplete basis, the number of basis vectors is greater than the dimensionality of the input, and the representation of an input is not a unique... 
CODE | BLIND SEPARATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ALGORITHM | TRANSFORMS | Learning | Likelihood Functions | Algorithms | Animals | Humans | Probability | Speech | Models, Neurological | Models, Statistical
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 10/2017, Volume 98, p. 117
This work proposes kernel transform learning. The idea of dictionary learning is well known; it is a synthesis formulation where a basis is learnt along with... 
Learning | Concept learning | Dictionaries | Integral transforms | Linear programming | Feature extraction | Data processing | Pattern recognition
Journal Article
IEEE Journal of Selected Topics in Signal Processing, ISSN 1932-4553, 06/2015, Volume 9, Issue 4, pp. 625 - 636
Techniques exploiting the sparsity of signals in a transform domain or dictionary have been popular in signal processing. Adaptive synthesis dictionaries have... 
Adaptation models | Dictionaries | Computational modeling | Noise reduction | Transforms | sparsifying transforms | Encoding | Sparse representations | dictionary learning | machine learning | denoising | Analytical models | image representation | big data | online learning | SPARSE | SIGNALS | K-SVD | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article