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» Ensemble Methods for Unsupervised WSD
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ACL
2010
13 years 3 months ago
Employing Personal/Impersonal Views in Supervised and Semi-Supervised Sentiment Classification
In this paper, we adopt two views, personal and impersonal views, and systematically employ them in both supervised and semi-supervised sentiment classification. Here, personal vi...
Shoushan Li, Chu-Ren Huang, Guodong Zhou, Sophia Y...
ICCV
2009
IEEE
14 years 10 months ago
Least-Squares Congealing for Large Numbers of Images
In this paper we pursue the task of aligning an ensemble of images in an unsupervised manner. This task has been commonly referred to as “congealing” in literature. A form o...
Mark Cox, Sridha Sridharan, Simon Lucey, Jeffrey C...
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 7 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...
PRL
2010
158views more  PRL 2010»
13 years 3 months ago
Data clustering: 50 years beyond K-means
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
Anil K. Jain
NIPS
2001
13 years 6 months ago
Global Coordination of Local Linear Models
High dimensional data that lies on or near a low dimensional manifold can be described by a collection of local linear models. Such a description, however, does not provide a glob...
Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinto...