9 citations · 20 across the 6 of their papers we have counts for
6 papers
Probability Weighted Compact Feature for Domain Adaptive Retrieval
Fuxiang Huang, Lei Zhang, Yang Yang +1
Domain adaptive image retrieval includes single-domain retrieval and cross-domain retrieval. Most of the existing image retrieval methods only focus on single-domain retrieval, whi…
Two-Phase Object-Based Deep Learning for Multi-temporal SAR Image Change Detection
Xinzheng Zhang, Guo Liu, Ce Zhang +5
Change detection is one of the fundamental applications of synthetic aperture radar (SAR) images. However, speckle noise presented in SAR images has a much negative effect on chang…
When Single Event Upset Meets Deep Neural Networks: Observations, Explorations, and Remedies
Zheyu Yan, Yiyu Shi, Wang Liao +3
Deep Neural Network has proved its potential in various perception tasks and hence become an appealing option for interpretation and data processing in security sensitive systems.…
Deep Adaptive Network: An Efficient Deep Neural Network with Sparse Binary Connections
Xichuan Zhou, Shengli Li, Kai Qin +5
Deep neural networks are state-of-the-art models for understanding the content of images, video and raw input data. However, implementing a deep neural network in embedded systems…
Assessing Google Correlate Queries for Influenza H1N1 Surveillance in Asian Developing Countries
Xichuan Zhou, Qin Li, Han Zhao +6
So far, Google Trend data have been used for influenza surveillance in many European and American countries; however, there are few attempts to apply the low-cost surveillance meth…
Research of the Correlation between the H1N1 Morbidity Data and Google Trends in Egypt
Shengli Li, Xichuan Zhou
The search engine based on influenza monitoring system has been widely applied in many European and American countries. However, there are not any correlative researches reported f…