43 Result(s)
within
English
Computer Science
Information Systems Applications (incl. Internet)
Pattern Recognition
Dong-**ng Wang
Conference Paper
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Chapter and Conference Paper
You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding
Stochastic rounding is a critical technique used in low-precision deep neural networks (DNNs) training to ensure good model accuracy. However, it requires a large number of random numbers generated on the fly....
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Chapter and Conference Paper
CLOSE: Curriculum Learning on the Sharing Extent Towards Better One-Shot NAS
One-shot Neural Architecture Search (NAS) has been widely used to discover architectures due to its efficiency. However, previous studies reveal that one-shot performance estimations of architectures might not...
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Chapter and Conference Paper
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Single Object Tracking is the third annual UAV tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer Vision (ECC...
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Chapter and Conference Paper
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers publish...
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Chapter and Conference Paper
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual object detector benchmarking activity. Compared with the previous VisDrone-DET 2018 and VisDrone-DET 2019 chal...
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Chapter and Conference Paper
VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results
Crowd counting on the drone platform is an interesting topic in computer vision, which brings new challenges such as small object inference, background clutter and wide viewpoint. However, there are few algori...
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Chapter and Conference Paper
VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
The Vision Meets Drone (VisDrone2020) Multiple Object Tracking (MOT) is the third annual UAV MOT tracking evaluation activity organized by the VisDrone team, in conjunction with European Conference on Computer...
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Chapter and Conference Paper
An Advanced Version of MDNet for Visual Tracking
Tracking-by-detection is an effective framework for visual tracking tasks. For example, the Multi-Domain Convolution Neural Network (MDNet) achieves outstanding results in multiple benchmarks. However, the t...
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Chapter and Conference Paper
Enhanced LSTM with Batch Normalization
Recurrent neural networks (RNNs) are powerful models for sequence learning. However, the training of RNNs is complicated because the internal covariate shift problem, where the input distribution at each iter...
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Chapter and Conference Paper
Gated Contiguous Memory U-Net for Single Image Dehazing
Single image dehazing is a challenging problem that aims to recover a high-quality haze-free image from a hazy image. In this paper, we propose an U-Net like deep network with contiguous memory residual blocks...
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Chapter and Conference Paper
Classifying DNA Microarray for Cancer Diagnosis via Method Based on Complex Networks
Performing microarray expression data classification can improve the accuracy of a cancer diagnosis. The varying technique including Support Vector Machines (SVMs), Neuro-Fuzzy models (NF), K-Nearest Neighbor ...
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Chapter and Conference Paper
Prediction of Subcellular Localization of Multi-site Virus Proteins Based on Convolutional Neural Networks
Prediction of subcellular localization is critical for the analysis of mechanism and functions of proteins and biological research. A series of efficient methods have been proposed to identify subcellular loca...
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Chapter and Conference Paper
The Study on Grade Categorization Model of Question Based on on-Line Test Data
To tackle with the blindness of random questions choosing for exercise and test of the on-line learning system, this paper clusters questions exploiting various feature subsets and parameters via K-means. For...
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Chapter and Conference Paper
Identity Authentication Technology of Mobile Terminal Based on Cloud Face Recognition
The face recognition of mobile terminal plays an important role in the identity authentication technology. But there are some problems such as long detection time and low recognition rate due to the performanc...
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Chapter and Conference Paper
Improved Convolutional Neural Networks for Identifying Subcellular Localization of Gram-Negative Bacterial Proteins
Prediction of subcellular localization of Gram-negative bacterial proteins plays a vital role in the development of antibacterial drugs. Computational approaches have made remarkable progress in bacterial prot...
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Chapter and Conference Paper
Distributed Processing of Continuous Range Queries Over Moving Objects
With the widespread usage of wireless network and mobile devices, the scale of spatial-temporal data is dramatically increasing and a good deal of real world applications can be formulated as processing conti...
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Chapter and Conference Paper
Learning Bayesian Networks Structure Based Part Mutual Information for Reconstructing Gene Regulatory Networks
As a kind of high-precision correlation measurement method, Part Mutual Information (PMI) was firstly introduced into Bayesian Networks (BNs) structure learning algorithm in the paper. Compared to the general ...
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Chapter and Conference Paper
The Feature Extraction Method of EEG Signals Based on the Loop Coefficient of Transition Network
High accuracy of epilepsy EEG automatic detection has important clinical research significance. The combination of nonlinear time series analysis and complex network theory made it possible to analyze time ser...
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Chapter and Conference Paper
Global Adaptive and Local Scheduling Control for Smart Isolated Intersection Based on Real-Time Phase Saturability
Linking real-time phase saturability directly to the traffic signal control, the global adaptive control scheme for traffic light loop and the local scheduling control strategy for phase green time are propose...
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Chapter and Conference Paper
Predicting Multisite Protein Sub-cellular Locations Based on Correlation Coefficient
With the development of proteomics and cell biology, protein sub-cellular location has become a hot topic in bioinformatics. As the time goes on, more and more researchers make great efforts on studying protei...
