# Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/unifying-nuclear-norm-and-bilinear-factorization-approaches-for-low-rank-matrix/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ricardo Cabral,Fernando De la Torre,João Paulo Costeira,Alexandre Bernardino |
| Citations | 210 |
| DOI | 10.1109/iccv.2013.309 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2110531331 |
| Type | conference-paper |
| Year | 2013 |

## Paper authors

- [Fernando De la Torre](https://scholariq.org/researchers/fernando-de-la-torre/)

## Paper primary topic

- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)

## Paper topics

- [Sparse and Compressive Sensing Techniques](https://scholariq.org/topics/sparse-and-compressive-sensing-techniques/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)
- [Medical Image Segmentation Techniques](https://scholariq.org/topics/medical-image-segmentation-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.