arXiv
Open Access
2021
Successive Subspace Learning: An Overview
Mozhdeh Rouhsedaghat
Masoud Monajatipoor
Zohreh Azizi
C. -C. Jay Kuo
Abstrak
Successive Subspace Learning (SSL) offers a light-weight unsupervised feature learning method based on inherent statistical properties of data units (e.g. image pixels and points in point cloud sets). It has shown promising results, especially on small datasets. In this paper, we intuitively explain this method, provide an overview of its development, and point out some open questions and challenges for future research.
Topik & Kata Kunci
Penulis (4)
M
Mozhdeh Rouhsedaghat
M
Masoud Monajatipoor
Z
Zohreh Azizi
C
C. -C. Jay Kuo
Akses Cepat
Informasi Jurnal
- Tahun Terbit
- 2021
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓