109 search results - page 8 / 22 » Document clustering based on non-negative matrix factorizati... |
85
Voted
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
ICIP
2008
IEEE
15 years 11 months ago
2008
IEEE
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the fa...
IPM
2006
14 years 9 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
127
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TKDE
2012
12 years 12 months ago
2012
—Traditional clustering techniques are inapplicable to problems where the relationships between data points evolve over time. Not only is it important for the clustering algorith...
DMIN
2006
14 years 11 months ago
2006
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clus...