502 search results - page 92 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
SCVMA
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. This paper presents and investigates a set of local spacetime descriptors for representing and recognizing motion patterns in video. Following the idea of local features ...
CVPR
2000
IEEE
14 years 1 months ago
2000
IEEE
This paper describes a fast and robust approach to recovering structure and motion from video frames. It rst describes a robust recursive factorization method for ane projection...
IADIS
2008
13 years 10 months ago
2008
After an oil spill it is essential to know if an area is going to be affected by the oil slicks generated. The system presented here forecasts the presence or not of oil slicks in...
NIPS
2003
13 years 10 months ago
2003
Eigenvoice speaker adaptation has been shown to be effective when only a small amount of adaptation data is available. At the heart of the method is principal component analysis (...
JMLR
2006
13 years 8 months ago
2006
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...