On the public citation graph
Energy-based model of least squares twin Support Vector Machines for human action recognition
0 signed · 133 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-14715-9_10openalex-snapshot
Comparing Evaluation Protocols on the KTH Dataset
inferredcites →https://doi.org/10.1007/s11263-005-1838-7openalex-snapshot
On Space-Time Interest Points
inferredcites →https://doi.org/10.1007/s11263-007-0122-4openalex-snapshot
Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words
inferredcites →https://doi.org/10.1016/b978-0-12-800953-6.00006-2openalex-snapshot
Pattern Recognition and Neural Networks
inferredcites →https://doi.org/10.1016/j.cviu.2010.10.002openalex-snapshot
A survey of vision-based methods for action representation, segmentation and recognition
inferredcites →https://doi.org/10.1016/j.eswa.2008.09.066openalex-snapshot
Least squares twin support vector machines for pattern classification
inferredcites →https://doi.org/10.1016/j.imavis.2009.11.014openalex-snapshot
A survey on vision-based human action recognition
inferredcites →https://doi.org/10.1016/j.neucom.2010.11.013openalex-snapshot
Transform based spatio-temporal descriptors for human action recognition
inferredcites →https://doi.org/10.1016/j.patcog.2012.09.027openalex-snapshot
Latent semantic learning with structured sparse representation for human action recognition
inferredcites →https://doi.org/10.1016/j.patcog.2013.06.006openalex-snapshot
Exploring trace transform for robust human action recognition
inferredcites →https://doi.org/10.1016/j.patrec.2013.02.006openalex-snapshot
A survey of human motion analysis using depth imagery
inferredcites →https://doi.org/10.1016/j.sigpro.2007.05.009openalex-snapshot
Improving verification accuracy by synthesis of locally enhanced biometric images and deformable model
inferredcites →https://doi.org/10.1016/j.sigpro.2007.06.009openalex-snapshot
Development of entropy based algorithm for cardiac beat detection in 12-lead electrocardiogram
inferredcites →https://doi.org/10.1016/j.sigpro.2012.05.012openalex-snapshot
Fast multi-view segment graph kernel for object classification
inferredcites →https://doi.org/10.1016/j.sigpro.2012.07.017openalex-snapshot
Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification
inferredcites →https://doi.org/10.1016/j.sigpro.2012.07.029openalex-snapshot
Sparse coding and classifier ensemble based multi-instance learning for image categorization
inferredcites →https://doi.org/10.1016/j.sigpro.2013.05.002openalex-snapshot
Human action recognition with salient trajectories
inferredcites →https://doi.org/10.1016/s0925-2312(01)00644-0openalex-snapshot
Weighted least squares support vector machines: robustness and sparse approximation
inferredcites →https://doi.org/10.1017/cbo9780511812651openalex-snapshot
Pattern Recognition and Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2007.383332openalex-snapshot
Learning Motion Categories using both Semantic and Structural Information
inferredcites →https://doi.org/10.1109/cvpr.2007.383505openalex-snapshot
Human Activity Recognition Based on R Transform
inferredcites →https://doi.org/10.1109/cvpr.2008.4587527openalex-snapshot
Recognizing human actions using multiple features
inferredcites →https://doi.org/10.1109/cvpr.2008.4587723openalex-snapshot
Learning human actions via information maximization
inferredcites →https://doi.org/10.1109/cvpr.2008.4587735openalex-snapshot
Action recognition by learning mid-level motion features
inferredcites →https://doi.org/10.1109/cvpr.2008.4587756openalex-snapshot
Learning realistic human actions from movies
inferredcites →https://doi.org/10.1109/cvpr.2009.5206779openalex-snapshot
Recognising action as clouds of space-time interest points
inferredcites →https://doi.org/10.1109/cvpr.2010.5539881openalex-snapshot
Learning a hierarchy of discriminative space-time neighborhood features for human action recognition
inferredcites →https://doi.org/10.1109/cvpr.2011.5995407openalex-snapshot
Action recognition by dense trajectories
inferredcites →https://doi.org/10.1109/iccv.2007.4408988openalex-snapshot
A Biologically Inspired System for Action Recognition
inferredcites →https://doi.org/10.1109/icip.2010.5653768openalex-snapshot
Making full use of spatial-temporal interest points: An AdaBoost approach for action recognition
inferredcites →https://doi.org/10.1109/icpr.2004.1334462openalex-snapshot
Recognizing human actions: a local SVM approach
inferredcites →https://doi.org/10.1109/titb.2009.2037752openalex-snapshot
Twin SVM for Gesture Classification Using the Surface Electromyogram
inferredcites →https://doi.org/10.1109/tpami.2007.1068openalex-snapshot
Twin Support Vector Machines for Pattern Classification
inferredcites →https://doi.org/10.1109/tpami.2011.147openalex-snapshot
Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees
inferredcites →https://doi.org/10.1109/vspets.2005.1570899openalex-snapshot
Behavior Recognition via Sparse Spatio-Temporal Features
inferredcites →https://doi.org/10.1145/1291233.1291311openalex-snapshot
A 3-dimensional sift descriptor and its application to action recognition
inferredcites →https://doi.org/10.3233/ida-2012-0538openalex-snapshot
Human action categorization using discriminative local spatio-temporal feature weighting
inferredcites →https://doi.org/10.5244/c.22.88openalex-snapshot
Human Activity Recognition Using a Dynamic Texture Based Method
inferredcites →https://doi.org/10.5244/c.22.99openalex-snapshot
A Spatio-Temporal Descriptor Based on 3D-Gradients
inferredcites →https://doi.org/10.5244/c.23.124openalex-snapshot
Evaluation of local spatio-temporal features for action recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4761231openalex-extracted
One-vs-Many Scheme Based Multi-View Classification with Twin SVM
inferred← citeshttps://doi.org/10.1002/ima.22144openalex-snapshot
Magnetic resonance brain image classification based on weighted-type fractional Fourier transform and nonparallel support vector machine
inferred← citeshttps://doi.org/10.1007/978-3-319-46186-1_5openalex-snapshot
Variants of Twin Support Vector Machines: Some More Formulations
inferred← citeshttps://doi.org/10.1007/978-3-319-46186-1_8openalex-snapshot
Applications Based on TWSVM
inferred← citeshttps://doi.org/10.1007/978-3-319-71607-7_30openalex-snapshot
A New Kinect Approach to Judge Unhealthy Sitting Posture Based on Neck Angle and Torso Angle
inferred← citeshttps://doi.org/10.1007/978-981-10-2104-6_18openalex-snapshot
Robust Parametric Twin Support Vector Machine and Its Application in Human Activity Recognition
inferred← citeshttps://doi.org/10.1007/978-981-13-0923-6_50openalex-snapshot
Automated Identification System for Focal EEG Signals Using Fractal Dimension of FAWT-Based Sub-bands Signals
inferred← citeshttps://doi.org/10.1007/978-981-15-9492-2_6openalex-snapshot
Robust General Twin Support Vector Machine with Pinball Loss Function
inferred← citeshttps://doi.org/10.1007/978-981-19-0840-8_57openalex-snapshot
Energy-Based Least Squares Projection Twin SVM
inferred← citeshttps://doi.org/10.1007/s00500-016-2131-0openalex-snapshot
Cognitive gravitation model-based relative transformation for classification
inferred← citeshttps://doi.org/10.1007/s00521-019-04627-6openalex-snapshot
Robust statistics-based support vector machine and its variants: a survey
inferred← citeshttps://doi.org/10.1007/s00521-020-04740-xopenalex-snapshot
An enhanced KNN-based twin support vector machine with stable learning rules
inferred← citeshttps://doi.org/10.1007/s10044-018-0688-1openalex-snapshot
An implementation of optimized framework for action classification using multilayers neural network on selected fused features
inferred← citeshttps://doi.org/10.1007/s10044-019-00788-1openalex-snapshot
Video spatiotemporal mapping for human action recognition by convolutional neural network
inferred← citeshttps://doi.org/10.1007/s10044-019-00789-0openalex-snapshot
Human action recognition: a framework of statistical weighted segmentation and rank correlation-based selection
inferred← citeshttps://doi.org/10.1007/s10044-020-00902-8openalex-snapshot
Ternary tree-based structural twin support tensor machine for clustering
inferred← citeshttps://doi.org/10.1007/s10462-017-9586-yopenalex-snapshot
A review on multi-class TWSVM
inferred← citeshttps://doi.org/10.1007/s10479-016-2308-zopenalex-snapshot
Human actions recognition from motion capture recordings using signal resampling and pattern recognition methods
inferred← citeshttps://doi.org/10.1007/s10479-022-04575-wopenalex-snapshot
Comprehensive review on twin support vector machines
inferred← citeshttps://doi.org/10.1007/s10489-015-0751-1openalex-snapshot
Robust energy-based least squares twin support vector machines
inferred← citeshttps://doi.org/10.1007/s10489-018-1225-zopenalex-snapshot
KNN-based least squares twin support vector machine for pattern classification
inferred← citeshttps://doi.org/10.1007/s10489-019-01536-yopenalex-snapshot
Energy-based structural least squares MBSVM for classification
inferred← citeshttps://doi.org/10.1007/s10489-020-01676-6openalex-snapshot
Twin support vector machine based on improved artificial fish swarm algorithm with application to flame recognition
inferred← citeshttps://doi.org/10.1007/s11042-017-4660-7openalex-snapshot
A compact discriminant hierarchical clustering approach for action recognition
inferred← citeshttps://doi.org/10.1007/s13042-020-01227-yopenalex-snapshot
Towards wide-scale continuous gesture recognition model for in-depth and grayscale input videos
inferred← citeshttps://doi.org/10.1007/s13042-022-01696-3openalex-snapshot
An efficient microaneurysms detection approach in retinal fundus images
inferred← citeshttps://doi.org/10.1007/s13735-018-00167-2openalex-snapshot
Spatiotemporal wavelet correlogram for human action recognition
inferred← citeshttps://doi.org/10.1016/b978-0-12-812748-3.00022-7openalex-snapshot
Introduction to dynamics
inferred← citeshttps://doi.org/10.1016/j.asoc.2016.05.025openalex-snapshot
Robust least squares twin support vector machine for human activity recognition
inferred← citeshttps://doi.org/10.1016/j.asoc.2018.10.042openalex-snapshot
Fast Laplacian twin support vector machine with active learning for pattern classification
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.107322openalex-snapshot
Ensemble of classification models with weighted functional link network
inferred← citeshttps://doi.org/10.1016/j.asoc.2021.108099openalex-snapshot
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans
inferred← citeshttps://doi.org/10.1016/j.bspc.2024.106079openalex-snapshot
A novel hybrid ensemble based Alzheimer’s identification system using deep learning technique
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110412openalex-snapshot
Attentive deep learning with Randomized Vector Energy Least Square Twin Support Vector Machine for Alzheimer’s Disease diagnosis
inferred← citeshttps://doi.org/10.1016/j.eij.2014.12.003openalex-snapshot
Twin Support Vector Machine: A review from 2007 to 2014
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107467openalex-snapshot
Energy-based structural least squares twin support vector clustering
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109450openalex-snapshot
Brain tumor classification using weighted least square twin support vector machine with fuzzy hyperplane
inferred← citeshttps://doi.org/10.1016/j.est.2017.09.005openalex-snapshot
Determination of operating parameters for PEM fuel cell using support vector machines approach
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123480openalex-snapshot
Multi-view universum support vector machines with insensitive pinball loss
inferred← citeshttps://doi.org/10.1016/j.jksuci.2019.01.013openalex-snapshot
Robust scene text recognition: Using manifold regularized Twin-Support Vector Machine
inferred← citeshttps://doi.org/10.1016/j.jksuci.2020.04.004openalex-snapshot
An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimer’s disease
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110627openalex-snapshot
Robust twin depth support vector machine based on average depth
inferred← citeshttps://doi.org/10.1016/j.matpr.2021.12.004openalex-snapshot
Human action recognition based on spatial–temporal relational model and LSTM-CNN framework
inferred← citeshttps://doi.org/10.1016/j.neucom.2024.127712openalex-snapshot
Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach
inferred← citeshttps://doi.org/10.1016/j.optcom.2019.01.025openalex-snapshot
Blind modulation format identification using decision tree twin support vector machine in optical communication system
inferred← citeshttps://doi.org/10.1016/j.sigpro.2014.08.020openalex-snapshot
Motion recognition and synthesis based on 3D sparse representation
inferred← citeshttps://doi.org/10.1016/j.sigpro.2014.12.012openalex-snapshot
Multi-task support vector machines for feature selection with shared knowledge discovery
inferred← citeshttps://doi.org/10.1016/j.sigpro.2015.09.029openalex-snapshot
Feature extraction from smartphone inertial signals for human activity segmentation
inferred← citeshttps://doi.org/10.1016/j.sigpro.2020.107861openalex-snapshot
Robust supervised and semi-supervised twin extreme learning machines for pattern classification
inferred← citeshttps://doi.org/10.1016/j.snb.2019.05.034openalex-snapshot
Training technique of electronic nose using labeled and unlabeled samples based on multi-kernel LapSVM
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.5769openalex-snapshot
Improved strategy for human action recognition; experiencing a cascaded design
inferred← citeshttps://doi.org/10.1080/0952813x.2015.1132274openalex-snapshot
Pathological brain detection in MRI scanning via Hu moment invariants and machine learning
inferred← citeshttps://doi.org/10.1088/1757-899x/806/1/012035openalex-snapshot
Human Posture Recognition Method Based On Skeleton Vector With Depth Sensor
inferred← citeshttps://doi.org/10.1109/access.2025.3526828openalex-snapshot
Manifold Energy Projection Twin Support Vector Machine for Semi-Supervised Classification
inferred← citeshttps://doi.org/10.1109/cast.2016.7914970openalex-snapshot
Human activity monitoring using incremental SVM in health care domain
inferred← citeshttps://doi.org/10.1109/chicc.2016.7554489openalex-snapshot
Feature selection of steel surface defect based on P-ReliefF method
inferred← citeshttps://doi.org/10.1109/i2ct54291.2022.9824090openalex-snapshot
Skeleton Based Periodicity Analysis of Repetitive Actions
inferred← citeshttps://doi.org/10.1109/infocomtech.2018.8722391openalex-snapshot
A Deep Convolutional Neural Network for Interrelationship Identification between Humans from Images
inferred← citeshttps://doi.org/10.1109/ssci.2018.8628651openalex-snapshot
Classification of seizure and seizure-free EEG signals using Hjorth parameters
inferred← citeshttps://doi.org/10.1109/ssci.2018.8628733openalex-snapshot
Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals
inferred← citeshttps://doi.org/10.1109/ssci.2018.8628859openalex-snapshot
Maximum Margin Minimum Variance Twin Support Vector Machine
inferred← citeshttps://doi.org/10.1109/tetci.2024.3523714openalex-snapshot
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine
inferred← citeshttps://doi.org/10.1109/tim.2023.3267379openalex-snapshot
Multiclass Weighted Least Squares Twin Bounded Support Vector Machine for Intelligent Water Leakage Diagnosis
inferred← citeshttps://doi.org/10.1109/tnnls.2020.3027062openalex-snapshot
An Improved Nonparallel Support Vector Machine
inferred← citeshttps://doi.org/10.1111/1750-3841.17471openalex-snapshot
Detection of mussels contaminated with cadmium by near‐infrared reflectance spectroscopy based on RELS‐TSVM
inferred← citeshttps://doi.org/10.1111/exsy.12566openalex-snapshot
A novel method for the classification of Alzheimer ' s disease from normal controls using magnetic resonance imaging
inferred← citeshttps://doi.org/10.1142/s0218001416500105openalex-snapshot
Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features
inferred← citeshttps://doi.org/10.1155/2015/140820openalex-snapshot
Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework
inferred← citeshttps://doi.org/10.1155/2016/1269708openalex-snapshot
Twin Support Vector Machine for Multiple Instance Learning Based on Bag Dissimilarities
inferred← citeshttps://doi.org/10.1155/2017/8750506openalex-snapshot
Twin SVM-Based Classification of Alzheimer’s Disease Using Complex Dual-Tree Wavelet Principal Coefficients and LDA
inferred← citeshttps://doi.org/10.1155/2022/7931729openalex-snapshot
An Effective Approach for Human Activity Classification Using Feature Fusion and Machine Learning Methods
inferred← citeshttps://doi.org/10.1177/18758967261480940openalex-snapshot
Clustering improves support vector machines classification performance even without the kernel trick
inferred← citeshttps://doi.org/10.1186/s13640-017-0236-8openalex-snapshot
A framework of human detection and action recognition based on uniform segmentation and combination of Euclidean distance and joint entropy-based features selection
inferred← citeshttps://doi.org/10.14257/ijmue.2014.9.9.01openalex-snapshot
Motion Recognition based on Sparse Representation and 3D Spatial– Temporal Feature
inferred← citeshttps://doi.org/10.3233/jad-150848openalex-snapshot
Detection of Alzheimer’s Disease by Three-Dimensional Displacement Field Estimation in Structural Magnetic Resonance Imaging
inferred← citeshttps://doi.org/10.3233/jifs-179208openalex-snapshot
Simulation analysis of athletes’ motion recognition based on deep learning method and convolution algorithm
inferred← citeshttps://doi.org/10.3390/app6060169openalex-snapshot
Dual-Tree Complex Wavelet Transform and Twin Support Vector Machine for Pathological Brain Detection
inferred← citeshttps://doi.org/10.3390/axioms12080765openalex-snapshot
Distance Metric Optimization-Driven Neural Network Learning Framework for Pattern Classification
inferred← citeshttps://doi.org/10.3390/books978-3-03842-271-6openalex-snapshot
Applied Artificial Neural Networks
inferred← citeshttps://doi.org/10.3390/e17127877openalex-snapshot
Pathological Brain Detection by a Novel Image Feature—Fractional Fourier Entropy
inferred← citeshttps://doi.org/10.3390/sym14020289openalex-snapshot
A Novel Twin Support Vector Machine with Generalized Pinball Loss Function for Pattern Classification
inferred← citeshttps://doi.org/10.35940/ijitee.a4677.119119openalex-snapshot
A Fine Grainedresearch Over Human Action Recognition
inferred← citeshttps://doi.org/10.37256/rrcs.1120211325openalex-snapshot
Learning Pinball TWSVM efficiently using Privileged Information and their applications
inferred← citeshttps://doi.org/10.37256/rrcs.1120221325openalex-snapshot
Learning Pinball TWSVM efficiently using Privileged Information and its Applications
inferred← citeshttps://doi.org/10.48550/arxiv.1906.09443openalex-snapshot
An enhanced KNN-based twin support vector machine with stable learning rules
inferred← citeshttps://doi.org/10.48550/arxiv.1908.09264openalex-snapshot
Texture and Structure Two-view Classification of Images
inferred← citeshttps://doi.org/10.48550/arxiv.2107.06744openalex-snapshot
Efficient Learning of Pinball TWSVM using Privileged Information and its applications
inferred← citeshttps://doi.org/10.5829/ije.2022.35.01a.01openalex-snapshot
Probabilistic Twin Support Vector Machine for Solving Unclassifiable Region Problem
inferred← citeshttps://doi.org/10.7717/peerj.1251openalex-snapshot
Detection of Alzheimer’s disease by displacement field and machine learning
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.