Sparse Representation-based Classification

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (49 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Linear Disentangled Representation Learning for Facial Actions
  11 Jan 2017 2 repositories listed
  Limited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn disentangled invariant features.
• Associative Transformer
  22 Sep 2023 1 repository listed
  Existing studies such as the Coordination method employ iterative cross-attention mechanisms with a bottleneck to enable the sparse association of inputs.
• SparseFormer: Sparse Visual Recognition via Limited Latent Tokens
  7 Apr 2023 1 repository listed
  In this paper, we challenge this dense paradigm and present a new method, coined SparseFormer, to imitate human's sparse visual recognition in an end-to-end manner.
• A Personalized Zero-Shot ECG Arrhythmia Monitoring System: From Sparse Representation Based Domain Adaption to Energy Efficient Abnormal Beat Detection for Practical ECG Surveillance
  14 Jul 2022 1 repository listed
  An extensive set of experiments performed on the benchmark MIT-BIH ECG dataset shows that when this domain adaptation-based training data generator is used with a simple 1-D CNN classifier, the method outperforms the…
• Multiplication fusion of sparse and collaborative-competitive representation for image classification
  20 Jan 2020 1 repository listed
  Firstly, the coefficients of the test sample are obtained by SRC and CCRC, respectively.
• Deep Sparse Representation-based Classification
  24 Apr 2019 1 repository listed
  The proposed network consists of a convolutional autoencoder along with a fully-connected layer.
• Classifying Multi-channel UWB SAR Imagery via Tensor Sparsity Learning Techniques
  4 Oct 2018 1 repository listed
  Using low-frequency (UHF to L-band) ultra-wideband (UWB) synthetic aperture radar (SAR) technology for detecting buried and obscured targets, e.
• Sparse Representation-based Open Set Recognition
  6 May 2017 1 repository listed
  We propose a generalized Sparse Representation- based Classification (SRC) algorithm for open set recognition where not all classes presented during testing are known during training.
• Hierarchical Sparse and Collaborative Low-Rank Representation for Emotion Recognition
  7 Oct 2014 1 repository listed
  In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data.