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2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), ISSN 1063-6919, 06/2015, Volume 7-12-, pp. 806 - 814
Deep neural networks have achieved remarkable performance in both image classification and object detection problems, at the cost of a large number of... 
Convolutional codes | Accuracy | Neural networks | Redundancy | Sparse matrices | Matrix decomposition | Kernel | Computer vision | Algorithms | Cascades | Mathematical models | Central processing units | Pattern recognition
Conference Proceeding
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), ISSN 2329-9290, 10/2014, Volume 22, Issue 10, pp. 1533 - 1545
Journal Article
Pattern Recognition, ISSN 0031-3203, 05/2018, Volume 77, pp. 354 - 377
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural... 
Deep learning | Convolutional neural network | RECOGNITION | IMAGES | CLASSIFICATION | TERM | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | VISUAL TRACKING | FEATURES | CNNS | ENGINEERING, ELECTRICAL & ELECTRONIC | Computer science | Language processing | Computational linguistics | Machine vision | Neural networks | Natural language interfaces
Journal Article
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 12/2018, pp. 7794 - 7803
Conference Proceeding
05/2017, Volume 60, Issue 6, 7
We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000... 
COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | COMPUTER SCIENCE, THEORY & METHODS | Convolutional codes | Control | Usage | Image processing | Neural networks | Methods | Training | Competition | Errors | State of the art | Image resolution | High resolution | Convolution | Neurons | Mathematical models | Regularization | Image classification
Magazine Article
Remote Sensing, ISSN 2072-4292, 07/2016, Volume 8, Issue 7, p. 594
A new pansharpening method is proposed, based on convolutional neural networks. We adapt a simple and effective three-layer architecture recently proposed for... 
Super-resolution | Segmentation | Convolutional neural networks | Multiresolution | Enhancement | Machine learning | DATA-FUSION | QUALITY | super-resolution | MS | SPECTRAL RESOLUTION IMAGES | enhancement | machine learning | PAN-SHARPENING METHOD | REMOTE SENSING | multiresolution | segmentation | CONTRAST | TM | convolutional neural networks | LANDSAT THEMATIC MAPPER
Journal Article
Neurocomputing, ISSN 0925-2312, 01/2017, Volume 219, pp. 88 - 98
As a powerful visual model, convolutional neural networks (CNNs) have demonstrated remarkable performance in various visual recognition problems, and attracted... 
Deep learning | Convolutional neural networks | Hyperspectral image classification | BAND SELECTION | FOREWORD | REPRESENTATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | SPECIAL-ISSUE | Computer science | Neural networks | Analysis
Journal Article
Journal Article
International Journal of Computer Vision, ISSN 0920-5691, 1/2016, Volume 116, Issue 1, pp. 1 - 20
Journal Article
IEEE Signal Processing Letters, ISSN 1070-9908, 09/2014, Volume 21, Issue 9, pp. 1120 - 1124
We investigate convolutional neural networks (CNNs) for large vocabulary distant speech recognition, trained using speech recorded from a single distant... 
AMI corpus | Convolution | Neural networks | Hidden Markov models | Speech recognition | Acoustics | Vectors | distant speech recognition | meetings | convolutional neural networks | deep neural networks | Microphones | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
IEEE Transactions on Industrial Electronics, ISSN 0278-0046, 11/2016, Volume 63, Issue 11, pp. 7067 - 7075
Journal Article
Information Sciences, ISSN 0020-0255, 10/2016, Volume 364-365, pp. 146 - 155
Journal Article