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Robust Sparse Representation-Based Classification Using Online Sensor Data for Monitoring Manual Material Handling Tasks

https://doi.org/10.1109/tase.2017.2729583

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Probabilistic neural networks

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A guide to manual materials handling

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CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

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On the evolution of task-based analysis of manual materials handling, and its applicability in contemporary ergonomics

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Least Squares Support Vector Machine Classifiers

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An evaluation of classification algorithms for manual material handling tasks based on data obtained using wearable technologies

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Multiple criteria decision-making for the resolution of conflicting ergonomic knowledge in manual materials handling

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A critical review of biomechanical, epidemiological, physiological and psychophysical criteria for designing manual materials handling tasks

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Bounds on compressed voice channel capacity

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Normalized Iterative Hard Thresholding: Guaranteed Stability and Performance

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Signal Recovery From Incomplete and Inaccurate Measurements Via Regularized Orthogonal Matching Pursuit

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Near-Oracle Performance of Greedy Block-Sparse Estimation Techniques From Noisy Measurements

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Application of compressive sensing to sparse channel estimation

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An Introduction To Compressive Sampling [A sensing/sampling paradigm that goes against the common knowledge in data acquisition]

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Online classification and sensor selection optimization with applications to human material handling tasks using wearable sensing technologies

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inferredcites →https://doi.org/10.1109/tit.2004.834793openalex-snapshot

Greed is Good: Algorithmic Results for Sparse Approximation

inferredcites →https://doi.org/10.1109/tit.2007.909108openalex-snapshot

Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

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Subspace Pursuit for Compressive Sensing Signal Reconstruction

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Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

inferredcites →https://doi.org/10.1109/tpami.2008.114openalex-snapshot

Principal Component Analysis Based on L1-Norm Maximization

inferredcites →https://doi.org/10.1109/tpami.2008.79openalex-snapshot

Robust Face Recognition via Sparse Representation

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Sparse Bayesian Learning for Basis Selection

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Online Real-Time Quality Monitoring in Additive Manufacturing Processes Using Heterogeneous Sensors

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Sparse Approximate Solutions to Linear Systems

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A Nonmonotone Line Search Technique and Its Application to Unconstrained Optimization

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Atomic Decomposition by Basis Pursuit

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CoSaMP

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Least angle regression

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The Dantzig selector: Statistical estimation when p is much larger than n

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Sparse Representation for Signal Classification

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A Data-Driven Approach to Classifying Manual Material Handling Tasks Using Markerless Motion Capture and Recurrent Neural Networks

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Classifying diverse manual material handling tasks using a single wearable sensor

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Vision-language models for occupational physical exposure assessment: Classification and temporal segmentation of manual material handling tasks

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A data-driven approach to classifying manual material handling tasks using markerless motion capture and recurrent neural networks

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A review of sparsity-based clustering methods

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A decentralized adaptive momentum method for solving a class of min-max optimization problems

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Human activity recognition algorithms for manual material handling activities

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Manual material handling analysis of work posture in biomemechanics aspect using key indicator method (KIM) and ergonomic assessment worksheet (EAWS) in barecore workers

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Fusing Deep Learning and Sparse Coding for SAR ATR

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Surface Material Retrieval Using Weakly Paired Cross-Modal Learning

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Modified Iterative Method for Recovery of Sparse Multiple Measurement Problems

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Design and Application of an Image Classification Algorithm Based on Semantic Discrimination

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A Method for Robust Online Classification using Dictionary Learning: Development and Assessment for Monitoring Manual Material Handling Activities Using Wearable Sensors

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