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CIARP
2009
Springer
14 years 3 months ago
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
The concept of probabilistic Latent Semantic Analysis (pLSA) has gained much interest as a tool for feature transformation in image categorization and scene recognition scenarios. ...
Erik Rodner, Joachim Denzler
SAC
2008
ACM
13 years 8 months ago
Trajectory retrieval with latent semantic analysis
The problem of trajectory similarity has been recently attracted research interest considerably, due to its importance in diverse fields. In this work, we study trajectory similar...
Apostolos N. Papadopoulos
IJCAI
2003
13 years 10 months ago
A Revised Algorithm for Latent Semantic Analysis
The intelligent tutoring system AutoTutor uses latent semantic analysis to evaluate student answers to the tutor's questions. By comparing a student's answer to a set of...
Xiangen Hu, Zhiqiang Cai, Max M. Louwerse, Andrew ...
MM
2004
ACM
154views Multimedia» more  MM 2004»
14 years 2 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
COLING
2008
13 years 10 months ago
Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information
Latent Semantic Analysis (LSA) is based on the Singular Value Decomposition (SVD) of a term-by-document matrix for identifying relationships among terms and documents from cooccur...
Brett W. Bader, Peter A. Chew