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» Image Retrieval and Annotation Using Maximum Entropy
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MM
2010
ACM
191views Multimedia» more  MM 2010»
13 years 5 months ago
Quantifying tag representativeness of visual content of social images
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...
Aixin Sun, Sourav S. Bhowmick
JCDL
2004
ACM
125views Education» more  JCDL 2004»
14 years 29 days ago
Generating fuzzy semantic metadata describing spatial relations from images using the R-histogram
Automatic generation of semantic metadata describing spatial relations is highly desirable for image digital libraries. Relative spatial relations between objects in an image conv...
Yuhang Wang, Fillia Makedon, James Ford, Li Shen, ...
MICAI
2010
Springer
13 years 6 months ago
Information Retrieval with a Simplified Conceptual Graph-Like Representation
We argue for that taking into account semantic relations between words in the text can improve information retrieval performance. We implemented the process of information retrieva...
Sonia Ordoñez-Salinas, Alexander F. Gelbukh
ICML
2006
IEEE
14 years 8 months ago
Nonstationary kernel combination
The power and popularity of kernel methods stem in part from their ability to handle diverse forms of structured inputs, including vectors, graphs and strings. Recently, several m...
Darrin P. Lewis, Tony Jebara, William Stafford Nob...
ANLP
2000
97views more  ANLP 2000»
13 years 9 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi