A framework for large-scale bacterial motility behavior analysis

2016 ◽  
Author(s):  
Xiaomeng Liang ◽  
Lin-Ching Chang ◽  
Arash Massoudieh
Keyword(s):  
Behavior Analysis ◽  
Large Scale ◽  
Bacterial Motility ◽  
Motility Behavior

scholarly journals Unsupervised online multitask learning of behavioral sentence embeddings

2019 ◽  
Vol 5 ◽  
pp. e200
Author(s):  
Shao-Yen Tseng ◽  
Brian Baucom ◽  
Panayiotis Georgiou
Keyword(s):  
Emotion Recognition ◽  
Behavior Analysis ◽  
Couples Therapy ◽  
Large Scale ◽  
State Of The Art ◽  
General Purpose ◽  
Multitask Learning ◽  
Multiple Tasks ◽  
And Behavior ◽  
Better Than

Appropriate embedding transformation of sentences can aid in downstream tasks such as NLP and emotion and behavior analysis. Such efforts evolved from word vectors which were trained in an unsupervised manner using large-scale corpora. Recent research, however, has shown that sentence embeddings trained using in-domain data or supervised techniques, often through multitask learning, perform better than unsupervised ones. Representations have also been shown to be applicable in multiple tasks, especially when training incorporates multiple information sources. In this work we aspire to combine the simplicity of using abundant unsupervised data with transfer learning by introducing an online multitask objective. We present a multitask paradigm for unsupervised learning of sentence embeddings which simultaneously addresses domain adaption. We show that embeddings generated through this process increase performance in subsequent domain-relevant tasks. We evaluate on the affective tasks of emotion recognition and behavior analysis and compare our results with state-of-the-art general-purpose supervised sentence embeddings. Our unsupervised sentence embeddings outperform the alternative universal embeddings in both identifying behaviors within couples therapy and in emotion recognition.

Quantitative Inference of Bacterial Motility Behavior

2015 ◽  
Author(s):  
Xiaomeng Liang ◽  
Lin-Ching Chang ◽  
Arash Massoudieh ◽  
Nanxi Lu ◽  
Thanh H. Nguyen
Keyword(s):  
Bacterial Motility ◽  
Motility Behavior

scholarly journals Driver Behavior Analysis via Two-Stream Deep Convolutional Neural Network

2020 ◽  
Vol 10 (6) ◽  
pp. 1908
Author(s):  
Ju-Chin Chen ◽  
Chien-Yi Lee ◽  
Peng-Yu Huang ◽  
Cheng-Rong Lin
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Behavior Analysis ◽  
Large Scale ◽  
Traffic Accidents ◽  
Driver Behavior ◽  
World Health ◽  
Status Report ◽  
The World ◽  
Level Fusion

According to the World Health Organization global status report on road safety, traffic accidents are the eighth leading cause of death in the world, and nearly one-fifth of the traffic accidents were cause by driver distractions. Inspired by the famous two-stream convolutional neural network (CNN) model, we propose a driver behavior analysis system using one spatial stream ConvNet to extract the spatial features and one temporal stream ConvNet to capture the driver’s motion information. Instead of using three-dimensional (3D) ConvNet, which would suffer from large parameters and the lack of a pre-trained model, two-dimensional (2D) ConvNet is used to construct the spatial and temporal ConvNet streams, and they were pre-trained by the large-scale ImageNet. In addition, in order to integrate different modalities, the feature-level fusion methodology was applied, and a fusion network was designed to integrate the spatial and temporal features for further classification. Moreover, a self-compiled dataset of 10 actions in the vehicle was established. According to the experimental results, the proposed system can increase the accuracy rate by nearly 30% compared to the two-stream CNN model with a score-level fusion.

scholarly journals Large-Scale Battery System Development and User-Specific Driving Behavior Analysis for Emerging Electric-Drive Vehicles

Energies ◽  
2011 ◽  
Vol 4 (5) ◽  
pp. 758-779 ◽  
Author(s):  
Jie Wu ◽  
Kun Li ◽  
Yifei Jiang ◽  
Qin Lv ◽  
Li Shang ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Electric Drive ◽  
Large Scale ◽  
System Development ◽  
Driving Behavior ◽  
Battery System

scholarly journals EVACUATION PLAN ASSESSMENT CONSIDERING VEHICULAR BEHAVIOR ANALYSIS IN LARGE-SCALE EARTHQUAKE DISASTER

2015 ◽  
Vol 71 (5) ◽  
pp. I_53-I_68 ◽  
Author(s):  
Kazuki NAGAO ◽  
Takeshi OHATA ◽  
Yuji KAKIMOTO ◽  
Hisatomo HANABUSA ◽  
Yosuke FUTAKAMI ◽  
...  
Keyword(s):  
Behavior Analysis ◽  
Large Scale ◽  
Earthquake Disaster ◽  
Evacuation Plan
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