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SIGIR
2003
ACM
14 years 2 months ago
Document clustering based on non-negative matrix factorization
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
Wei Xu, Xin Liu, Yihong Gong
CIKM
2006
Springer
14 years 16 days ago
IR principles for content-based indexing and retrieval of functional brain images
In this paper, we explore the concept of a "library of brain images", which implies not only a repository of brain images, but also efficient search and retrieval mechan...
Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah ...
FLAIRS
2004
13 years 10 months ago
Adapting LSI for Fine-Grained and Multi-Level Document Comparison
In recent years, Latent Semantic Indexing (LSI) has been recognized as an effective tool for Information Retrieval in text documents. The level of "granularity" in LSI (...
Nicholas Adelman, Marin Simina
WCRE
2005
IEEE
14 years 2 months ago
Enriching Reverse Engineering with Semantic Clustering
Understanding a software system by just analyzing the structure of the system reveals only half of the picture, since the structure tells us only how the code is working but not w...
Adrian Kuhn, Stéphane Ducasse, Tudor G&icir...
CVPR
2007
IEEE
14 years 10 months ago
Hybrid learning of large jigsaws
A jigsaw is a recently proposed generative model that describes an image as a composition of non-overlapping patches of varying shape, extracted from a latent image. By learning t...
Julia A. Lasserre, Anitha Kannan, John M. Winn