Part-Level Regularized Semi-Nonnegative Coding for Semi-Supervised Learning
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- Type
- article
- Published
- 2015-11-14
- Cited by
- 5
- References
- 39
- OpenAlex
- https://openalex.org/W1809590739
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6123766
Keywords
Discriminative model, Interpretability, Matrix decomposition, Computer science, Semi-supervised learning
References
- Semi-supervised Learning by Sparse Representation
- Transfer Learning with Graph Co-Regularization
- Robust Subspace Segmentation by Low-Rank Representation
- Block-wise constrained sparse graph for face image representation
- Discriminative low-rank metric learning for face recognition
- Learning the parts of objects by non-negative matrix factorization
- Fixed-rank representation for unsupervised visual learning
- K-Means-Based Consensus Clustering: A Unified View
- Robust Subspace Segmentation with Block-Diagonal Prior
- The CMU Pose, Illumination, and Expression Database
- Spectral Ensemble Clustering
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration
- Structure-Constrained Low-Rank Representation
- Video object segmentation with shortest path
- Learning Balanced and Unbalanced Graphs via Low-Rank Coding
- Low-Rank Transfer Subspace Learning
- Algorithm 432 [C2]: Solution of the matrix equation AX + XB = C [F4]
- Low-rank embedding for semisupervised face classification
- A Database for Handwritten Text Recognition Research
- Parameterisation of a stochastic model for human face identification
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