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» Semantically Rich Spaces for Document Clustering
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ACSC
2009
IEEE
14 years 3 months ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
TREC
2003
13 years 10 months ago
QED: The Edinburgh TREC-2003 Question Answering System
This report describes a new open-domain answer retrieval system developed at the University of Edinburgh and gives results for the TREC-12 question answering track. Phrasal answer...
Jochen L. Leidner, Johan Bos, Tiphaine Dalmas, Jam...
SIGIR
2005
ACM
14 years 2 months ago
Orthogonal locality preserving indexing
We consider the problem of document indexing and representation. Recently, Locality Preserving Indexing (LPI) was proposed for learning a compact document subspace. Different from...
Deng Cai, Xiaofei He
KDD
2005
ACM
118views Data Mining» more  KDD 2005»
14 years 9 months 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
MM
2004
ACM
173views Multimedia» more  MM 2004»
14 years 1 months ago
Cortina: a system for large-scale, content-based web image retrieval
Recent advances in processing and networking capabilities of computers have led to an accumulation of immense amounts of multimedia data such as images. One of the largest reposit...
Till Quack, Ullrich Mönich, Lars Thiele, B. S...