340 search results - page 48 / 68 » Linear Dependent Dimensionality Reduction |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
IDEAS
2006
IEEE
14 years 1 months ago
2006
IEEE
Histograms are being used as non-parametric selectivity estimators for one-dimensional data. For highdimensional data it is common to either compute onedimensional histograms for ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
DSD
2009
IEEE
13 years 11 months ago
2009
IEEE
Voltage-frequency scaling (VFS) trades a linear processor slowdown for a potentially quadratic reduction in energy consumption. Complex dependencies may exist between different tas...
WACV
2002
IEEE
14 years 12 days ago
2002
IEEE
We present a method for estimating eye gaze direction, which represents a departure from conventional eye gaze estimation methods, the majority of which are based on tracking spec...