827 search results - page 95 / 166 » Constrained Classification on Structured Data |
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
CN
1998
13 years 9 months ago
1998
The World Wide Web currently has a huge amount of data, with practically no classification information, and this makes it extremely difficult to handle effectively. It has been re...
CVPR
2004
IEEE
15 years 3 days ago
2004
IEEE
Subspace clustering has many applications in computer vision, such as image/video segmentation and pattern classification. The major issue in subspace clustering is to obtain the ...
HPCA
2002
IEEE
14 years 3 months ago
2002
IEEE
As the frequency gap between main memory and modern microprocessor grows, the implementation and efficiency of on-chip caches become more important. The growing latency to memory ...
NIPS
2004
13 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known method for feature extraction and dimension reduction. It has been used widely in many applications such as face recognition. Re...