376 search results - page 14 / 76 » Clustering with Constrained Similarity Learning |
EWIMT
2004
13 years 9 months ago
2004
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
IDA
2003
Springer
14 years 24 days ago
2003
Springer
The segmentation of time-series is a constrained clustering problem: the data points should be grouped by their similarity, but with the constraint that all points in a cluster mus...
KDD
2004
ACM
14 years 8 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
ICDM
2008
IEEE
14 years 2 months ago
2008
IEEE
Wikipedia has been applied as a background knowledge base to various text mining problems, but very few attempts have been made to utilize it for document clustering. In this pape...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
Many sources of information relevant to computer vision and machine learning tasks are often underused. One example is the similarity between the elements from a novel source, suc...