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» Supervised Feature Extraction Using Hilbert-Schmidt Norms
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WWW
2005
ACM
16 years 11 days ago
Ranking definitions with supervised learning methods
This paper is concerned with the problem of definition search. Specifically, given a term, we are to retrieve definitional excerpts of the term and rank the extracted excerpts acc...
Jun Xu, Yunbo Cao, Hang Li, Min Zhao
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
15 years 1 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...
CORR
2010
Springer
177views Education» more  CORR 2010»
14 years 11 months ago
Supervised Random Walks: Predicting and Recommending Links in Social Networks
Predicting the occurrence of links is a fundamental problem in networks. In the link prediction problem we are given a snapshot of a network and would like to infer which interact...
Lars Backstrom, Jure Leskovec
IPM
2010
128views more  IPM 2010»
14 years 10 months ago
A knowledge-rich approach to identifying semantic relations between nominals
This paper describes a supervised, knowledge-intensive approach to the automatic identification of semantic relations between nominals in English sentences. The system employs di...
Roxana Girju, Brandon Beamer, Alla Rozovskaya, A. ...
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
16 years 3 days ago
On the use of linear programming for unsupervised text classification
We propose a new algorithm for dimensionality reduction and unsupervised text classification. We use mixture models as underlying process of generating corpus and utilize a novel,...
Mark Sandler