447 search results - page 7 / 90 » Two-Stage Optimal Component Analysis |
63
Voted
DAC
2003
ACM
15 years 10 months ago
2003
ACM
Exploring a large portion of the microprocessor design space requires the rapid development of efficient simulators. While some systems support rapid model development through the...
NIPS
2003
14 years 10 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
Recently popularized randomized methods for principal component analysis (PCA) efficiently and reliably produce nearly optimal accuracy -- even on parallel processors -- unlike the...
ICCV
1999
IEEE
15 years 11 months ago
1999
IEEE
The technique of independent component analysis (ICA) is applied for texture feature detection. In ICA an optimal transformation (with respect to the statistical structure of the i...
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
In this paper, we propose a new vector quantization method to create video thumbnail. In particular, we employ video time density function (VTDF) to explore the temporal character...