543 search results - page 92 / 109 » Nonlinear principal component analysis of noisy data |
106
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SIGMOD
2004
ACM
15 years 9 months ago
2004
ACM
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
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FPL
2007
Springer
15 years 3 months ago
2007
Springer
An important step in Heterogeneous System Development is Hardware/Software Partitioning. This process involves exploring a huge design space. By using profiling to select hot-spo...
PCM
2007
Springer
15 years 3 months ago
2007
Springer
The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA ...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
AVBPA
2001
Springer
15 years 2 months ago
2001
Springer
We present a novel technique for motion-based recognition of individual gaits in monocular sequences. Recent work has suggested that the image self-similarity plot of a moving per...