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Expert Systems With Applications, ISSN 0957-4174, 01/2020, Volume 139, p. 112854
We propose a novel coupled mappings method for low resolution face recognition using deep convolutional neural networks (DCNNs). The proposed architecture... 
Deep convolutional neural networks | Super-resolution methods | Coupled mappings methods | Low resolution face recognition
Journal Article
Journal of Vision, ISSN 1534-7362, 09/2015, Volume 15, Issue 12, p. 217
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 04/2015, Volume 26, Issue 4, pp. 709 - 719
Journal Article
Journal of Vision, ISSN 1534-7362, 09/2016, Volume 16, Issue 12, p. 101
Journal Article
SCIENTIFIC REPORTS, ISSN 2045-2322, 04/2019, Volume 9, Issue 1, pp. 6033 - 10
Some scenes are more memorable than others: they cement in minds with consistencies across observers and time scales. While memory mechanisms are traditionally... 
SPACE | PLACE AREA | REPRESENTATIONS | CORTEX | MULTIDISCIPLINARY SCIENCES | FUSIFORM FACE AREA | DYNAMICS | OBJECT RECOGNITION | INTERFERENCE | TIME-COURSE | MEG | Magnetoencephalography | Information processing
Journal Article
Journal of Vision, ISSN 1534-7362, 08/2017, Volume 17, Issue 10, p. 570
Journal Article
Journal of Vision, ISSN 1534-7362, 09/2018, Volume 18, Issue 10, p. 400
Journal Article
Journal of Vision, ISSN 1534-7362, 09/2018, Volume 18, Issue 10, p. 906
Journal Article
Journal of Vision, ISSN 1534-7362, 09/2018, Volume 18, Issue 10, p. 368
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2016, Volume 60, pp. 835 - 848
The recently proposed Relevance Sample-Feature Machine (RSFM) performs joint feature selection and classification with state-of-the-art performance in terms of... 
Relevance sample-feature machine (RSFM) | Fast marginal likelihood maximization | Bayesian inference | Embedded feature selection methods | Sparse Bayesian learning | POSE | VECTOR MACHINE | BAYESIAN-APPROACH | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Electrical engineering | Analysis | Algorithms
Journal Article
Neurocomputing, ISSN 0925-2312, 06/2017, Volume 241, pp. 181 - 190
This paper presents a Bayesian learning approach for embedded feature selection. This approach employs a fully Bayesian framework to achieve a model which is... 
Regression | Feature selection | Sparse Bayesian learning | Classification | Relevance Vector Machine | INFORMATION | ALGORITHM | JOINT FEATURE-SELECTION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Analysis | Algorithms
Journal Article
Frontiers in Systems Neuroscience, ISSN 1662-5137, 05/2016, Volume 10, Issue MAY, pp. 39 - 39
Journal Article
Vision, ISSN 2411-5150, 02/2019, Volume 3, Issue 1, p. 8
To build a representation of what we see, the human brain recruits regions throughout the visual cortex in cascading sequence. Recently, an approach was... 
vision | representational similarity analysis | fMRI | multivariate pattern analysis | dorsal and ventral streams | spatiotemporal neural dynamics | MEG
Journal Article
06/2017
We propose a novel couple mappings method for low resolution face recognition using deep convolutional neural networks (DCNNs). The proposed architecture... 
Computer Science - Computer Vision and Pattern Recognition
Journal Article
Progress in Electromagnetics Research Symposium, ISSN 1559-9450, 2008, Volume 1, pp. 138 - 141
Conference Proceeding
2015 9th Iranian Conference on Machine Vision and Image Processing (MVIP), ISSN 2166-6776, 11/2015, Volume 2016-, pp. 168 - 171
Kernel based approaches are one of the most well-known methods in regression and classification tasks. Type of kernel function and also its parameters have a... 
Support vector machines | Sparse Bayesian Learning Methods | Genetics | Bayesian Inference | Adaptive kernel | Kernel Learning Methods | Vehicle Classification | Learning | Kernels | Algorithms | Classification | Mathematical models | Gaussian | Bayesian analysis | Vehicles
Conference Proceeding
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