19 search results - page 1 / 4 » Unsupervised Learning with Term Clustering for Thematic Segm... |
RIAO
2004
13 years 6 months ago
2004
In this paper we introduce a machine learning approach for automatic text segmentation. Our text segmenter clusters text-segments containing similar concepts. It first discovers th...
WIDM
2009
ACM
13 years 11 months ago
2009
ACM
In this paper we introduce a novel approach for the thematic organization of bibliographic records that builds upon a semantic relatedness measure we have implemented for this tas...
CIKM
2006
Springer
13 years 8 months ago
2006
Springer
Text segmentation is important for text analysis, while text alignment is to determine shared sub-topics among similar documents. Multi-task text segmentation and alignment is the...
ECCV
2010
Springer
13 years 7 months ago
2010
Springer
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...