Results 51 to 60 of about 41,575 (296)
Improving Low-Resource CD-DNN-HMM Using Dropout and Multilingual DNN Training
, 2018 We investigate two strategies to improve the context-dependent deep neural network hidden Markov model (CD-DNN-HMM) in low-resource speech recognition. Although outperforming the conventional Gaussian mixture model (GMM) HMM on various tasks, CD-DNN-HMM ...
Yajie Miao (5362322) +1 more
core +1 more source
DNN-SAM: Split-and-Merge DNN Execution for Real-Time Object Detection
, 2022 As real-time object detection systems, such as autonomous cars, need to process input images acquired from multiple cameras, they face significant challenges in delivering accurate and timely inferences often based on machine learning (ML). To meet these
Chwa, Hoon Sung +7 more
core +1 more source
European Journal of Remote Sensing, 2019 There is a pressing need for an automatic road extraction method due to the continuous development of transportation networks. Free from the influence of weather, satellite-mounted synthetic-aperture radar (SAR) opens the way for such a road detection ...
Qianqian Zhang +6 more
doaj +1 more source
Evaluation Metrics for DNNs Compression
CoRR, 2023 There is a lot of ongoing research effort into developing different techniques for neural networks compression. However, the community lacks standardised evaluation metrics, which are key to identifying the most suitable compression technique for different applications.
Abanoub Ghobrial +5 more
openaire +2 more sources
DNN-Based Assistant in Laparoscopic Computer-Aided Palpation
, 2018 This repository includes the dataset analyzed in the study entitled that "DNN-Based Assistant in Laparoscopic Computer-Aided Palpation" by Tomohiro Fukuda, Yoshihiro Tanaka, Michitaka Fujiwara, and Akihito ...
Michitaka Fujiwara (4176772) +3 more
core +1 more source
tlorieul/herbarium-phenology-dnn: v1.0-beta
, 2019 <p>Some tests still need to be performed but should be a working version.</p> <p>Please check the <a href="https://github.com/tlorieul/herbarium-phenology-dnn">GitHub master branch</a> for latest version.</p ...
Titouan Lorieul
core +1 more source
Coded DNN Watermark: Robustness against Pruning Models Using Constant Weight Code
Journal of Imaging, 2022 Deep Neural Network (DNN) watermarking techniques are increasingly being used to protect the intellectual property of DNN models. Basically, DNN watermarking is a technique to insert side information into the DNN model without significantly degrading the
Tatsuya Yasui +3 more
doaj +1 more source
Arthritis Care &Research, EarlyView.Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Sensors, 2022 We propose an improved DNN modeling method based on two optimization algorithms, namely the linear decreasing weight particle swarm optimization (LDWPSO) algorithm and invasive weed optimization (IWO) algorithm, for predicting vehicle’s longitudinal ...
Xiaobo Nie +4 more
doaj +1 more source
Confusion matrix via PermFIT-DNN.
, 2023 A misdiagnosis of pulmonary embolism (PE) can have severe consequences such as disability or death. It’s crucial to accurately identify key clinical features of PE in clinical practice to promptly identify potential PE patients who may present ...
Fei Zou (188420) +2 more
core +1 more source