502 search results - page 63 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
JMM2
2006
13 years 8 months ago
2006
We propose a technique for gait recognition from motion capture data based on two successive stages of principal component analysis (PCA) on kinematic data. The first stage of PCA ...
CIKM
2009
Springer
14 years 3 months ago
2009
Springer
Wikipedia is the largest monolithic repository of human knowledge. In addition to its sheer size, it represents a new encyclopedic paradigm by interconnecting articles through hyp...
MICCAI
2009
Springer
14 years 10 months ago
2009
Springer
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
ISCC
2009
IEEE
14 years 3 months ago
2009
IEEE
In wireless sensor networks, energy consumption is generally associated with the amount of sent data once communication is the activity of the network that consumes more energy. T...
NIPS
2008
13 years 10 months ago
2008
Principal Components Analysis (PCA) has become established as one of the key tools for dimensionality reduction when dealing with real valued data. Approaches such as exponential ...