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» Sparse Latent Semantic Analysis
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MM
2005
ACM
209views Multimedia» more  MM 2005»
15 years 3 months ago
Learning an image-word embedding for image auto-annotation on the nonlinear latent space
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...
Wei Liu, Xiaoou Tang
MM
2004
ACM
154views Multimedia» more  MM 2004»
15 years 3 months ago
PLSA-based image auto-annotation: constraining the latent space
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...
Florent Monay, Daniel Gatica-Perez
83
Voted
DL
2000
Springer
210views Digital Library» more  DL 2000»
15 years 1 months ago
Extracting and visualizing semantic structures in retrieval results for browsing
The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are...
Katy Börner
AUSAI
2009
Springer
15 years 28 days ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
COLING
2010
14 years 4 months ago
Text Summarization of Turkish Texts using Latent Semantic Analysis
Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-form...
Makbule Ozsoy, Ilyas Cicekli, Ferda Nur Alpaslan