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» A Structured Vector Space Model for Word Meaning in Context
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ISM
2008
IEEE
101views Multimedia» more  ISM 2008»
14 years 2 months ago
Photo Context as a Bag of Words
In the recent years, photo context metadata (e.g., date, GPS coordinates) have been proved to be useful in the management of personal photos. However, these metadata are still poo...
Windson Viana, Samira Hammiche, Marlène Vil...
SMC
2010
IEEE
202views Control Systems» more  SMC 2010»
13 years 6 months ago
Evaluating the performance of nonnegative matrix factorization for constructing semantic spaces: Comparison to latent semantic a
—This study examines the ability of nonnegative matrix factorization (NMF) as a method for constructing semantic spaces, in which the meaning of each word is represented by a hig...
Akira Utsumi
QI
2009
Springer
190views Physics» more  QI 2009»
14 years 2 months ago
Characterizing Pure High-Order Entanglements in Lexical Semantic Spaces via Information Geometry
An emerging topic in Quantuam Interaction is the use of lexical semantic spaces, as Hilbert spaces, to capture the meaning of words. There has been some initial evidence that the p...
Yuexian Hou, Dawei Song
PAMI
2012
11 years 10 months ago
Exploring Context and Content Links in Social Media: A Latent Space Method
—Social media networks contain both content and context-specific information. Most existing methods work with either of the two for the purpose of multimedia mining and retrieva...
Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, T...
SIGIR
2006
ACM
14 years 1 months ago
Measuring similarity of semi-structured documents with context weights
In this work, we study similarity measures for text-centric XML documents based on an extended vector space model, which considers both document content and structure. Experimenta...
Christopher C. Yang, Nan Liu