Combining ConvNets with hand-crafted features for action recognition based on an HMM-SVM classifier
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-5335-0
Abstract: This paper proposes a new framework for RGB-D-based action recognition that takes advantages of hand-designed features from skeleton data and deeply learned features from depth maps, and exploits effectively both the local and global temporal… read more here.
Keywords: action recognition; hmm svm; recognition; hand ... See more keywords
FoSSA Optimization-Based SVM Classifier for the Recognition of Partial Discharge Patterns in HV Cables
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7566731
Abstract: In order to enhance the classification accuracy and the generalization performance of the SVM classifier in cable partial discharge (PD) pattern recognition, a firefly optimized sparrow search algorithm (FoSSA) is proposed to optimize its kernel… read more here.
Keywords: optimization; accuracy; partial discharge; svm classifier ... See more keywords
Screening of characteristic genes in ulcerative colitis by integrating gene expression profiles
Sign Up to like & getrecommendations! Published in 2021 at "BMC Gastroenterology"
DOI: 10.1186/s12876-021-01940-0
Abstract: Background This study aimed to screen the feature modules and characteristic genes related to ulcerative colitis (UC) and construct a support vector machine (SVM) classifier to distinguish UC patients. Methods Four datasets that contained UC… read more here.
Keywords: gene expression; characteristic genes; ulcerative colitis; gene ... See more keywords
Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames
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DOI: 10.1371/journal.pone.0200469
Abstract: Brain haemorrhages often require urgent treatment with a consequent need for quick and accurate diagnosis. Therefore, in this study, we investigate Support Vector Machine (SVM) classifiers for detecting brain haemorrhages using Electrical Impedance Tomography (EIT)… read more here.
Keywords: detection; measurement frames; electrical impedance; brain ... See more keywords
MACHINE VISION BASED MISSING FASTENER DETECTION IN RAIL TRACK IMAGES USING SVM CLASSIFIER
Sign Up to like & getrecommendations! Published in 2017 at "International Journal on Smart Sensing and Intelligent Systems"
DOI: 10.21307/ijssis-2017-271
Abstract: Missing fastener detection is a critical task due to its similar characteristics with surrounding environments. In this paper, a machine vision based fully automatic detection and classification of missing fastener detection system is proposed using… read more here.
Keywords: detection; fastener detection; track; missing fastener ... See more keywords
A Hybrid Boosted-SVM Classifier for Recognizing Parts of 3D Objects
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2018.0430.12
Abstract: The main objective of classifying parts of a 3D object is to group them into similar and meaningful categories. This purpose is a challenging task in pattern recognition, especially when the risk of assigning simultaneously… read more here.
Keywords: classifier recognizing; classifier; recognizing parts; boosted svm ... See more keywords
Hybrid CNN-SVM Classifier Approaches to Process Semi-Structured Data in Sugarcane Yield Forecasting Production
Sign Up to like & getrecommendations! Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13041169
Abstract: Information communication technology (ICT) breakthroughs have boosted global social and economic progress. Most rural Indians rely on agriculture for income. The growing population requires modern agricultural practices. ICT is crucial for educating farmers on how… read more here.
Keywords: classifier approaches; soil moisture; cnn svm; hybrid cnn ... See more keywords
Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12041018
Abstract: The complexity of brain tissue requires skillful technicians and expert medical doctors to manually analyze and diagnose Glioma brain tumors using multiple Magnetic Resonance (MR) images with multiple modalities. Unfortunately, manual diagnosis suffers from its… read more here.
Keywords: neural network; svm classifier; glioma; glioma tumors ... See more keywords
Feature genes in metastatic breast cancer identified by MetaDE and SVM classifier methods
Sign Up to like & getrecommendations! Published in 2018 at "Molecular Medicine Reports"
DOI: 10.3892/mmr.2018.8398
Abstract: The aim of the present study was to investigate the feature genes in metastatic breast cancer samples. A total of 5 expression profiles of metastatic breast cancer samples were downloaded from the Gene Expression Omnibus… read more here.
Keywords: feature genes; breast cancer; svm classifier;