169 search results - page 9 / 34 » Weighted and Robust Incremental Method for Subspace Learning |
TCSV
2008
13 years 7 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
CIVR
2008
Springer
13 years 9 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
MLDM
2005
Springer
14 years 29 days ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...