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» On Clusterings - Good, Bad and Spectral
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103
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ACL
2011
14 years 4 months ago
Domain Adaptation by Constraining Inter-Domain Variability of Latent Feature Representation
We consider a semi-supervised setting for domain adaptation where only unlabeled data is available for the target domain. One way to tackle this problem is to train a generative m...
Ivan Titov
EMNLP
2009
14 years 10 months ago
Improving Verb Clustering with Automatically Acquired Selectional Preferences
In previous research in automatic verb classification, syntactic features have proved the most useful features, although manual classifications rely heavily on semantic features. ...
Lin Sun, Anna Korhonen
ISBI
2011
IEEE
14 years 4 months ago
Sparse Riemannian manifold clustering for HARDI segmentation
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
Hasan Ertan Çetingül, René Vida...
96
Voted
ICMCS
2005
IEEE
137views Multimedia» more  ICMCS 2005»
15 years 6 months ago
Co-Clustering of Time-Evolving News Story with Transcript and Keyframe
This paper presents techniques in clustering the sametopic news stories according to event themes. We model the relationship of stories with textual and visual concepts under the ...
Xiao Wu, Chong-Wah Ngo, Qing Li
73
Voted
PODS
2005
ACM
115views Database» more  PODS 2005»
16 years 27 days ago
A divide-and-merge methodology for clustering
We present a divide-and-merge methodology for clustering a set of objects that combines a top-down "divide" phase with a bottom-up "merge" phase. In contrast, ...
David Cheng, Santosh Vempala, Ravi Kannan, Grant W...