Benchmark Revision for HOG-SVM Pedestrian Detector Through Reinvigorated Training and Evaluation Methodologies
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2019.2906132
Abstract: Histogram of oriented gradient (HOG) features in combination with support vector machine (SVM) classification are still widely reported as a de facto standard benchmark to evaluate contemporary pedestrian detectors employing a vast spectrum of sophisticated… read more here.
Keywords: svm; evaluation; kernel svm; hog ... See more keywords
Prediction and Classification of COVID-19 Admissions to Intensive Care Units (ICU) Using Weighted Radial Kernel SVM Coupled with Recursive Feature Elimination (RFE)
Sign Up to like & getrecommendations! Published in 2022 at "Life"
DOI: 10.3390/life12071100
Abstract: Healthcare systems have been under immense pressure since the beginning of the COVID-19 pandemic; hence, studies on using machine learning (ML) methods for classifying ICU admissions and resource allocation are urgently needed. We investigated whether… read more here.
Keywords: covid patients; classification; radial kernel; icu admissions ... See more keywords
Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis
Sign Up to like & getrecommendations! Published in 2023 at "Sensors"
DOI: 10.3390/s23115137
Abstract: We propose a new fault diagnosis model for rolling bearings based on a hybrid kernel support vector machine (SVM) and Bayesian optimization (BO). The model uses discrete Fourier transform (DFT) to extract fifteen features from… read more here.
Keywords: fault diagnosis; hybrid kernel; kernel svm; bayesian optimized ... See more keywords