301 search results - page 31 / 61 » Using PCM in Next-generation Embedded Space Applications |
IWANN
2005
Springer
14 years 1 months ago
2005
Springer
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
ICIAR
2004
Springer
14 years 1 months ago
2004
Springer
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
COMPGEOM
2006
ACM
14 years 1 months ago
2006
ACM
Embedding metrics into constant-dimensional geometric spaces, such as the Euclidean plane, is relatively poorly understood. Motivated by applications in visualization, ad-hoc netw...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
IPSN
2004
Springer
14 years 1 months ago
2004
Springer
This paper presents an approach for dynamic software reconfiguration in sensor networks. Our approach utilizes explicit models of the design space of the embedded application. The...