292 search results - page 9 / 59 » Discriminative K-means for Clustering |
IRAL
2003
ACM
14 years 25 days ago
2003
ACM
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
ICDAR
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, we propose a new method based on wavelet transform, statistical features and central moments for both graphics and scene text detection in video images. The method ...
AAAI
2004
13 years 9 months ago
2004
Word sense discrimination is an unsupervised clustering problem, which seeks to discover which instances of a word/s are used in the same meaning. This is done strictly based on i...
IJCNN
2007
IEEE
14 years 1 months ago
2007
IEEE
— A piecewise linear network is discussed which classifies N-dimensional input vectors. The network uses a distance measure to assign incoming input vectors to an appropriate clu...
PAKDD
2007
ACM
14 years 1 months ago
2007
ACM
While null space based linear discriminant analysis (NLDA) obtains a good discriminant performance, the ability easily suffers from an implicit assumption of Gaussian model with sa...