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118
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CIARP
2009
Springer
15 years 10 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
129
Voted
ISMIR
2003
Springer
116views Music» more  ISMIR 2003»
15 years 9 months ago
Harmonic analysis with probabilistic graphical models
A technique for harmonic analysis is presented that partitions a piece of music into contiguous regions and labels each with the key, mode, and functional chord, e.g. tonic, domin...
Christopher Raphael, Josh Stoddard
129
Voted
SIGIR
2003
ACM
15 years 9 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
131
Voted
ICPP
2008
IEEE
15 years 10 months ago
Parallelization and Characterization of Probabilistic Latent Semantic Analysis
Probabilistic Latent Semantic Analysis (PLSA) is one of the most popular statistical techniques for the analysis of two-model and co-occurrence data. It has applications in inform...
Chuntao Hong, Wenguang Chen, Weimin Zheng, Jiulong...
133
Voted
SIGSOFT
2009
ACM
16 years 4 months ago
Probabilistic environments in the quantitative analysis of (non-probabilistic) behaviour models
System specifications have long been expressed through automata-based languages, enabling verification techniques such as model checking. These verification techniques can assess ...
Esteban Pavese, Sebastián Uchitel, Ví...