Results 21 to 30 of about 41,575 (296)
DNN-HA: A DNN-based hearing-aid strategy for real-time processing
, 2023 Release v1.0 of DNN-HA, a deep-neural-network (DNN) hearing-aid (HA) strategy for real-time sound processing. The DNN-HA strategy comprises a single DNN model architecture, and uses an audio signal and an audiogram as inputs to provide individualised HA ...
Arthur Van Den Broucke +2 more
core +1 more source
DNN Flow: DNN Feature Pyramid based Image Matching [PDF]
Proceedings of the British Machine Vision Conference 2014, 2014 Image matching especially in category level is a challenge but important problem in vision. The advance of image matching largely depends on the advance of image features. In viewing recent success of learned image feature by DNN, we propose an image matching algorithm based on DNN feature pyramid, named as DNN Flow.
Wei Yu 0004 +4 more
openaire +2 more sources
Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement [PDF]
2019 27th European Signal Processing Conference (EUSIPCO), 2019 Estimating time-frequency domain masks for speech enhancement using deep learning approaches has recently become a popular field of research. In this paper, we propose a mask-based speech enhancement framework by using concatenated identical deep neural networks (CI-DNNs).
Ziyi Xu +2 more
openaire +2 more sources
Applied Sciences, 2020 Nowadays, traffic infrastructures and vehicles are connected through the network benefiting from the development of Internet of Things (IoT). Connected automated cars can provide some useful traffic information.
Kai Gao +5 more
doaj +1 more source
The confusion matrix of PCA-DNN-12-layer model with MFCC datasets.
, 2021 The confusion matrix of PCA-DNN-12-layer model with MFCC datasets.
Kuo-Wei Chao (11874072) +5 more
core +1 more source
Differential Neural Networks (DNN) [PDF]
IEEE Access, 2020 In this work, we propose an artificial neural network topology to estimate the derivative of a function. This topology is called a differential neural network because it allows the estimation of the derivative of any of the network outputs with respect to any of its inputs. The main advantage of a differential neural network is that it uses some of the
Sergio Ledesma +5 more
openaire +2 more sources
The confusion matrix of PCA-DNN-12-layer model with LPC datasets.
, 2021 The confusion matrix of PCA-DNN-12-layer model with LPC datasets.
Kuo-Wei Chao (11874072) +5 more
core +1 more source
Simulation of visible light at night from infrared measurements using deep learning technique
Geocarto International, 2023 Improving visible imagery of clouds, especially at night, is of great importance for weather forecasting and warning. This study considered full-disc data obtained by the FengYun-4B satellite with the Advanced Geostationary Radiation Imager (AGRI) as an ...
Junjie Yan +3 more
doaj +1 more source
Controllable Orthogonalization in Training DNNs [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Accepted to CVPR 2020.
Lei Huang 0015 +6 more
openaire +2 more sources
, 2023 MRSF-DNN and DNN training results: (a) The training results of MRSF-DNN and DNN, (b) Probability distribution of MRSF-DNN, (c) Probability distribution of DNN.
Xiaohong Chen (220164) +2 more
core +1 more source