12 search results - page 1 / 3 » Incremental Principal Component Pursuit for Video Background... |
153
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
In the recent work of Candes et al, the problem of recovering low rank matrix corrupted by i.i.d. sparse outliers is studied and a very elegant solution, principal component pursui...
144
Voted
CIKM
2010
Springer
15 years 1 months ago
2010
Springer
Low-dimensional topic models have been proven very useful for modeling a large corpus of documents that share a relatively small number of topics. Dimensionality reduction tools s...
149
Voted
JACM
2011
14 years 5 months ago
2011
This paper is about a curious phenomenon. Suppose we have a data matrix, which is the superposition of a low-rank component and a sparse component. Can we recover each component i...
156
Voted
MM
2005
ACM
15 years 8 months ago
2005
ACM
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
106
Voted
ICIP
2003
IEEE
16 years 4 months ago
2003
IEEE
Principal Component Analysis (PCA) is a well-established technique in image processing and pattern recognition. Incremental PCA and robust PCA are two interesting problems with nu...