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Sparse Representation-based Classification
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Sparse Representation-based Classification is the task based on the description of the data as a linear combination of few building blocks - atoms - taken from a pre-defined dictionary of such fundamental elements.
논문
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SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance
Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification
Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism
Automatic Identification of Epileptic Seizures from EEG Signals using Sparse Representation-based Classification
Multiplication fusion of sparse and collaborative-competitive representation for image classification
Collaborative representation-based robust face recognition by discriminative low-rank representation
Non-intrusive Load Monitoring via Multi-label Sparse Representation based Classification
Learning a Representation with the Block-Diagonal Structure for Pattern Classification
A Paired Sparse Representation Model for Robust Face Recognition from a Single Sample
Deep Sparse Representation-based Classification
A Fast Dictionary Learning Method for Coupled Feature Space Learning
Inverse Projection Representation and Category Contribution Rate for Robust Tumor Recognition
The Use of Mutual Coherence to Prove $\ell^1/\ell^0$-Equivalence in Classification Problems
Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
An Integrated Inverse Space Sparse Representation Framework for Tumor Classification
Deep Network for Simultaneous Decomposition and Classification in UWB-SAR Imagery
Color Face Recognition using High-Dimension Quaternion-based Adaptive Representation
Discriminant Projection Representation-based Classification for Vision Recognition
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images
Sparse Representation-based Open Set Recognition
Linear Disentangled Representation Learning for Facial Actions
Semi-Supervised Sparse Representation Based Classification for Face Recognition with Insufficient Labeled Samples
Sparse Representation-Based Classification: Orthogonal Least Squares or Orthogonal Matching Pursuit?
Improving Sparse Representation-Based Classification Using Local Principal Component Analysis
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices
Continuous and Simultaneous Gesture and Posture Recognition for Commanding a Robotic Wheelchair; Towards Spotting the Signal Patterns
Subspace-Sparse Representation
Joint Representation Classification for Collective Face Recognition
Study on Sparse Representation based Classification for Biometric Verification
Structured Occlusion Coding for Robust Face Recognition
Optimized Projection for Sparse Representation Based Classification
Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection
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