Francis J Williams,Samuel L Hennessey,Ludmila I Kuncheva
Francis J Williams
Monitoring a group of animals would greatly benefit from automated animal re-identification from video. Multiple Object Tracking alone does not provide a sufficiently good re-identification, hence we propose to augment the process by furthe...
Naveen Madapana,Juan Wachs
Naveen Madapana
Zero-shot learning (ZSL) is a transfer learning paradigm that aims to recognize unseen categories just by having a high-level description of them. While deep learning has greatly pushed the limits of ZSL for object classification, ZSL for g...
Interval regression model adequacy checking and its application to estimate school dropout in Brazilian municipality educational scenario [0.03%]
区间回归模型适用性检验及在巴西某市学校学生辍学情况估计中的应用
Rafaella L S do Nascimento,Roberta A de A Fagundes,Renata M C R de Souza et al.
Rafaella L S do Nascimento et al.
Interval-valued data have been commonly encountered in practice, and Symbolic Data Analysis provides a solution to the statistical treatment of these data. Regression analysis for interval-valued symbolic data is a topic that has been widel...
Rahul Kumar Vijay,Satyasai Jagannath Nanda
Rahul Kumar Vijay
In this paper, a subsequence time-series clustering algorithm is proposed to identify the strongly coupled aftershocks sequences and Poissonian background activity from earthquake catalogs of active regions. The proposed method considers th...
Matthew A Corsetti,Tanzy M Love
Matthew A Corsetti
The Random Subspace Method (RSM) is an ensemble procedure in which each constituent learner is constructed using a randomly chosen subset of the data features. Regression trees are ideal candidate learners in RSM ensembles. By constructing ...
Probabilistic elderly person's mood analysis based on its activities of daily living using smart facilities [0.03%]
基于智能设施分析老年人日常生活活动情绪的概率方法
Mohsen Falah Rad,Mojtaba Shakeri,Kamrad Khoshhal Roudposhti et al.
Mohsen Falah Rad et al.
The world's population is aging, and eldercare services that use smart facilities such as smart homes are widely common in societies now. With the aid of smart facilities, the present study aimed at understanding an elder's moods based on t...
Savitzky-Golay filter energy features-based approach to face recognition using symbolic modeling [0.03%]
基于Savitzky-Golay滤波能量特征的符号模型人脸识别方法研究
Vishwanath C Kagawade,Shanmukhappa A Angadi
Vishwanath C Kagawade
Face recognition is a well-researched domain however many issues for instance expression changes, illumination variations, and presence of occlusion in the face images seriously affect the performance of such systems. A recent survey shows ...
Improved barnacles mating optimizer algorithm for feature selection and support vector machine optimization [0.03%]
基于藤壶交配优化算法的特征选择及支持向量机优化
Heming Jia,Kangjian Sun
Heming Jia
With the rapid development of computer technology, data collection becomes easier, and data object presents more complex. Data analysis method based on machine learning is an important, active, and multi-disciplinarily research field. Suppo...
Automatic detection of coronavirus disease (COVID-19) using X-ray images and deep convolutional neural networks [0.03%]
基于X射线图像和深度卷积神经网络的新型冠状病毒肺炎自动检测方法
Ali Narin,Ceren Kaya,Ziynet Pamuk
Ali Narin
The 2019 novel coronavirus disease (COVID-19), with a starting point in China, has spread rapidly among people living in other countries and is approaching approximately 101,917,147 cases worldwide according to the statistics of World Healt...
Correction to a novel framework for rapid diagnosis of COVID-19 on computed tomography scans [0.03%]
关于CT扫描上新型冠状病毒肺炎快速诊断新框架的修正项
Tallha Akram,Muhammad Attique,Salma Gul et al.
Tallha Akram et al.
[This corrects the article DOI: 10.1007/s10044-020-00950-0.]. © The Author(s) 2021.
Published Erratum
Pattern analysis and applications : PAA. 2021;24(3):965. DOI:10.1007/s10044-021-00969-x 2021