588 search results - page 45 / 118 » Computing the Dimension of Linear Subspaces |
CVPR
2009
IEEE
14 years 1 months ago
2009
IEEE
Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigentracking) are one of the most popular approaches to align templates ...
SAC
2010
ACM
13 years 8 months ago
2010
ACM
Problems involving high-dimensional data, such as pattern recognition, image analysis, and gene clustering, often require a preliminary step of dimension reduction before or durin...
SAC
2005
ACM
14 years 3 months ago
2005
ACM
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
SIGPRO
2002
13 years 9 months ago
2002
Image restoration from degraded images lies at the foundation of image processing, pattern recognition, and computer vision, so it has been extensively studied. A large number of ...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Dimension reduction is a critical data preprocessing step for many database and data mining applications, such as efficient storage and retrieval of high-dimensional data. In the ...