39 search results - page 3 / 8 » Contextually adaptive signal representation using conditiona... |
MM
2004
ACM
13 years 11 months ago
2004
ACM
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
ICASSP
2008
IEEE
14 years 24 days ago
2008
IEEE
This paper presents a novel classification/ retrieval system for motion events based on a perfect view invariant representation of motion trajectories and a linear classifier al...
BMCV
2000
Springer
13 years 10 months ago
2000
Springer
Abstract. We apply independent component analysis (ICA) for learning an efficient color image representation of natural scenes. In the spectra of single pixels, the algorithm was a...
TASLP
2010
13 years 4 months ago
2010
Abstract—We present an algorithm for removing timefrequency components, found by a standard Gabor transform, of a “real-world” sound while causing no audible difference to th...
FGR
2000
IEEE
13 years 10 months ago
2000
IEEE
Low-dimensional representations of sensory signals are key to solving many of the computational problems encountered in high-level vision. Principal Component Analysis (PCA) has b...