Proceedings of the 3rd International Conference on Vision, Image and Signal Processing最新文献

Classification and Change Detection Using Multi-periodic Harmonic Analysis 基于多周期谐波分析的分类与变化检测

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3387183

Myunghee Jun, Sanghoon Lee

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引用次数: 0

Classifying Alcoholics and Control Patients Using Deep Learning and Peak Visualization Method 利用深度学习和峰值可视化方法对酗酒者和对照患者进行分类

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3389119

Asim Fayyaz, Muaz Maqbool, M. Saeed

{"title":"Classifying Alcoholics and Control Patients Using Deep Learning and Peak Visualization Method","authors":"Asim Fayyaz, Muaz Maqbool, M. Saeed","doi":"10.1145/3387168.3389119","DOIUrl":"https://doi.org/10.1145/3387168.3389119","url":null,"abstract":"A lot of advancements have been made in the field of Brain Computer Interfaces (BCI) using machine and deep learning. This paper presents a novel preprocessing technique to process Electroencephalography (EEG) signals in time domain. The proposed methodology, (Peak Visualization Method) (PVM) is based on selecting peaks with distinctive width and height range in order to perform better classification. PVM uses multiple machine learning techniques such as Random Forest, Logistic Regression and Support Vector Machine (SVM), Naive Bayes in order to find the most discriminating ranges. Moreover, selected range peaks are further used to compute features like indices of peaks, prominence of peak, contour heights, relative maxima, relative minima, local maxima and local minima. The extracted features were used as training and test data for a competitive 5-fold cross-validated analysis with Long Short Term Memory (LSTM) network. A publicly available EEG dataset for alcoholic and non-alcoholic classification was used to compare the proposed technique with state of the art EEG-NET deep learning model. In order to visualize the generalized performance of proposed system we use award winning dimensionality reduction technique t-Distributed Stochastic Neighbor Embedding (t-SNE) on the features extracted by EEGLSTM and show how our model's activations are classified in alcoholic and non-alcoholic categories. The reduced features are visualized into two dimensions.Features extracted using PVM gives an average accuracy of 90% on 5 folds beating the current state of the art EEG-NET, which manages to achieve an average accuracy of 88% on this dataset.","PeriodicalId":346739,"journal":{"name":"Proceedings of the 3rd International Conference on Vision, Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125921498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Diabetic Retinopathy Diagnosis with Ensemble Deep-Learning 集成深度学习诊断糖尿病视网膜病变

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3387206

Snehil Kumar

引用次数: 4

Effects of Heterogeneous Surroundings on the Efficacy of Continuous Radiofrequency for Pain Relief 异质环境对连续射频镇痛效果的影响

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3389110

Sundeep Singh, R. Melnik

引用次数: 3

Method for Identifying Arc Length of TIG Welding Based on Machine Vision and Image Processing 基于机器视觉和图像处理的TIG焊接弧长识别方法

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3387187

Shoujie Duan, Niansong Zhang, Aiming Wang

引用次数: 0

Aileron Locking Fault Detection Based on Extended Kalman Filter for UAV 基于扩展卡尔曼滤波的无人机副翼锁定故障检测

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3390519

M. Demircan, C. Kasnakoğlu

引用次数: 1

Two-dimensional Phase Unwrapping with Priori Boundary Condition 基于先验边界条件的二维相位展开

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3387246

S. Lian, H. Kudo

引用次数: 0

Confidence Intervals for Coefficient of Variation of Inverse Gaussian Distribution 高斯反分布变异系数的置信区间

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3387254

Wasana Chankham, S. Niwitpong, Suparat Niwitpong

引用次数: 2

New Image Encryption Scheme Using Chaotic Maps 基于混沌映射的新图像加密方案

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3389111

M. Khan

引用次数: 1

Impact of Font on Computer Recognition of License Plates on Automobiles 字体对汽车车牌计算机识别的影响

Proceedings of the 3rd International Conference on Vision, Image and Signal Processing Pub Date : 2019-08-26 DOI: 10.1145/3387168.3389112

Rabiah Al-qudah, C. Suen

引用次数: 1