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IEEE Journal of Biomedical and Health Informatics, ISSN 2168-2194, 09/2019, Volume 23, Issue 5, pp. 1911 - 1919
Manual segmentation of the brain tumors for cancer diagnosis from MRI images is a difficult, tedious, and time-consuming task. The accuracy and the robustness... 
cascade CNN | group CNN | CNN | 2PG-CNN | Task analysis | Brain tumor | Image segmentation | Magnetic resonance imaging | Machine learning | Brain modeling | group convolutional neural networks | two-pathway CNN | deep neural network | Tumors | Biomedical imaging | Deep neural network | Two-Pathway CNN | Group CNN
Journal Article
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 4/2019, pp. 1 - 15
The success of convolutional neural networks (CNNs) in computer vision applications has been accompanied by a significant increase of computation and memory... 
CNN acceleration | CNN compression | Convolutional neural networks (CNNs) | structured sparsity
Journal Article
Academic radiology, ISSN 1076-6332, 07/2019
The purpose of this study was to develop a deep learning classification approach to distinguish cancerous from noncancerous regions within optical coherence... 
Journal Article
Physica A: Statistical Mechanics and its Applications, ISSN 0378-4371, 12/2019, Volume 535, p. 122537
Depending on the severity of the leaf spot disease in the field, it can cause a loss in sugar yield by 10% to 50%. Therefore, disease symptoms should be... 
Leaf spot disease | Sugar beet | CNN | Faster R-CNN
Journal Article
International Journal of Machine Learning and Computing, 12/2018, Volume 8, Issue 6, pp. 577 - 582
CNN | RNN
Journal Article
IEEE Transactions on Multimedia, ISSN 1520-9210, 9/2019, pp. 1 - 1
Human Action Recognition (HAR) for CCTV-oriented applications is still a challenging problem. Real-world scenarios HAR implementations is difficult because of... 
ISLD | CNN | LSTM | CCTV | Pose
Journal Article
IEEE Geoscience and Remote Sensing Letters, ISSN 1545-598X, 6/2019, pp. 1 - 5
Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images.... 
Computational modeling | remote sensing | 2-D-convolutional neural network (CNN) | CNNs | hyperspectral image (HSI) classification | deep learning | hybrid spectral CNN (HybridSN) | Feature extraction | 3-D-CNN | IP networks | spectral-spatial | Kernel | Hyperspectral imaging | Principal component analysis
Journal Article
International Journal of Pattern Recognition and Artificial Intelligence, ISSN 0218-0014, 2019, p. 1951008
Journal Article
Journal Article
IEEE Sensors Journal, ISSN 1530-437X, 8/2019, pp. 1 - 1
This paper proposes a novel point-cloud-based place recognition system which adopts a deep learning approach for feature extraction. By using a convolutional... 
point cloud | CNN | place recognition
Journal Article
IEEE Access, ISSN 2169-3536, 9/2019, pp. 1 - 1
Hexagonal grids use a hierarchical subdivision tessellation to cover the entire plane or sphere. Due to the 6-fold rotational symmetry, hexagonal grids have... 
Hexagon | CNN | discrete grids
Journal Article
Journal of Intelligent Systems, ISSN 0334-1860, 2019
Journal Article
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN 0302-9743, 2016, Volume 9910, pp. 868 - 884
Conference Proceeding
Journal of Visual Communication and Image Representation, ISSN 1047-3203, 10/2019, Volume 64, p. 102609
Image classification plays an important role in computer vision and its applications, such as scene categorization, image retrieval. Convolutional neural... 
CNN | Quality score | Image classification
Journal Article
Journal Article
Neurocomputing, ISSN 0925-2312, 05/2017, Volume 237, pp. 235 - 241
Deep convolutional neural networks have demonstrated breakthrough accuracies for image classification. A series of feature extractors learned from CNN have... 
CNN | Image retrieval | Multi-level features
Journal Article
Pattern Recognition, ISSN 0031-3203, 12/2019, Volume 96, p. 106961
Recent Progress has shown that exploitation of hidden layer neurons in convolutional neural networks (CNN) incorporating with a carefully designed activation... 
Deep learning | Computer vision | CNN | Activation
Journal Article
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