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» On Comparing Two Scenarios for Probabilistic Image Modelling
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IVCNZ
1998
14 years 11 months ago
On Comparing Two Scenarios for Probabilistic Image Modelling
Traditional scenario of probabilistic modelling is directed at generating samples having a given probability distribution. We argue that this scenario is impracticable for image m...
Georgy L. Gimel'farb
89
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DAGM
2008
Springer
15 years 1 days ago
Comparing Local Feature Descriptors in pLSA-Based Image Models
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
Eva Hörster, Thomas Greif, Rainer Lienhart, M...
100
Voted
CIKM
2010
Springer
14 years 8 months ago
A probabilistic topic-connection model for automatic image annotation
The explosive increase of image data on Internet has made it an important, yet very challenging task to index and automatically annotate image data. To achieve that end, sophistic...
Xin Chen, Xiaohua Hu, Zhongna Zhou, Caimei Lu, Gai...
73
Voted
CIARP
2009
Springer
15 years 4 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