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» Unsupervised feature selection using a neuro-fuzzy approach
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ACCV
2010
Springer
14 years 6 months ago
Unsupervised Selective Transfer Learning for Object Recognition
Abstract. We propose a novel unsupervised transfer learning framework that utilises unlabelled auxiliary data to quantify and select the most relevant transferrable knowledge for r...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
PR
2008
151views more  PR 2008»
14 years 11 months ago
Constraint Score: A new filter method for feature selection with pairwise constraints
Feature selection is an important preprocessing step in mining high-dimensional data. Generally, supervised feature selection methods with supervision information are superior to ...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
CIARP
2004
Springer
15 years 5 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
ACL
2006
15 years 1 months ago
Unsupervised Relation Disambiguation Using Spectral Clustering
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
CVPR
2008
IEEE
16 years 1 months ago
Unsupervised modeling of object categories using link analysis techniques
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
Gunhee Kim, Christos Faloutsos, Martial Hebert