Incremental Eigenanalysis for Classification

By Peter M. Hall, A. David Marshall, Ralph Robert Martin. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Ming-Hsuan Yang
2. Martin Danelljan
3. Xi Li
4. Jongwoo Lim
5. Huchuan Lu
6. David A. Ross
7. Hanbin Zhao
8. Naiyan Wang

Citations in the corpus

• Incremental Learning for Robust Visual Tracking (2008, methodology): “Numerous, more-sophisticated algorithms have been developed to efficiently update an eigenbasis as more data arrive (Golub and Van Loan 1996; Hall et al. 1998; Levy and Lindenbaum 2000; Brand 2002).”
• Incremental Learning for Visual Tracking (2004, methodology): “Numerous algorithms have been developed to update eigenbasis from a time-varying covariance matrix as more data arrive [6] [8] [11] [5].”
• Incremental linear discriminant analysis for classification of data streams (2005, methodology): “Conclusions Like IPCA[1], [4], the essence of Incremental linear discriminant analysis should be the incremental updating of the eigen-decomposition.”
• Few-Shot Class-Incremental Learning via Feature Space Composition (2020, background): “Another transformation matrix P2 can be learned incrementally [57, 58] with samples from the subsequent tasks.”