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» Discriminative Clustering via Generative Feature Mapping
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106
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NN
2006
Springer
127views Neural Networks» more  NN 2006»
15 years 1 months ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart
137
Voted
TNN
2010
154views Management» more  TNN 2010»
14 years 7 months ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
126
Voted
KDD
2010
ACM
326views Data Mining» more  KDD 2010»
14 years 11 months ago
Document clustering via dirichlet process mixture model with feature selection
One essential issue of document clustering is to estimate the appropriate number of clusters for a document collection to which documents should be partitioned. In this paper, we ...
Guan Yu, Ruizhang Huang, Zhaojun Wang
113
Voted
ACL
2012
13 years 3 months ago
Concept-to-text Generation via Discriminative Reranking
This paper proposes a data-driven method for concept-to-text generation, the task of automatically producing textual output from non-linguistic input. A key insight in our approac...
Ioannis Konstas, Mirella Lapata
93
Voted
CVPR
2007
IEEE
16 years 3 months ago
Toward A Discriminative Codebook: Codeword Selection across Multi-resolution
In patch-based object recognition, there are two important issues on the codebook generation: (1) resolution: a coarse codebook lacks sufficient discriminative power, and an over-...
Lei Wang