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» An improvement on learning with local and global consistency
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ACL
2012
11 years 9 months ago
Improving Word Representations via Global Context and Multiple Word Prototypes
Unsupervised word representations are very useful in NLP tasks both as inputs to learning algorithms and as extra word features in NLP systems. However, most of these models are b...
Eric H. Huang, Richard Socher, Christopher D. Mann...
ICML
2005
IEEE
14 years 7 months ago
Robust one-class clustering using hybrid global and local search
Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
Gunjan Gupta, Joydeep Ghosh
IJCAI
2003
13 years 8 months ago
Consistency and Set Intersection
We propose a new framework to study properties of consistency in a Constraint Network from the perspective of properties of set intersection. Our framework comes with a proof sche...
Yuanlin Zhang, Roland H. C. Yap
PAMI
2006
178views more  PAMI 2006»
13 years 7 months ago
Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models
Appearance-based methods, based on statistical models of the pixel values in an image (region) rather than geometrical object models, are increasingly popular in computer vision. I...
Jakob J. Verbeek
TKDE
2011
280views more  TKDE 2011»
13 years 1 months ago
Locally Consistent Concept Factorization for Document Clustering
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
Deng Cai, Xiaofei He, Jiawei Han