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» Using a probabilistic source model for comparing images
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DAGM
2008
Springer
13 years 6 months 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...
CIKM
2010
Springer
13 years 2 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...
CIKM
2009
Springer
13 years 9 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
ICASSP
2010
IEEE
13 years 3 months ago
A new voice source model based on high-speed imaging and its application to voice source estimation
There are numerous models of varying complexities which seek to efficiently represent the voice source signal. These models are typically based on data and observations which can...
Yen-Liang Shue, Abeer Alwan