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» Learning Semantic Scene Models by Trajectory Analysis
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IJCV
2008
151views more  IJCV 2008»
14 years 9 months ago
Describing Visual Scenes Using Transformed Objects and Parts
We develop hierarchical, probabilistic models for objects, the parts composing them, and the visual scenes surrounding them. Our approach couples topic models originally developed...
Erik B. Sudderth, Antonio Torralba, William T. Fre...
98
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IGARSS
2009
14 years 7 months ago
Fuzzy Spatial Relations for High Resolution Remote Sensing Image Analysis: The Case of "To Go Across"
High resolution remote sensing (HR RS) images allow discriminating between different objects in a scene. Spatial reasoning techniques can be used to interpret and describe the sce...
Maria Carolina Vanegas, Isabelle Bloch, Jordi Ingl...
ICCV
2005
IEEE
15 years 11 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
SIGIR
2005
ACM
15 years 3 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos
SBIA
2000
Springer
15 years 1 months ago
Linguistic Relations Encoding in a Symbolic-Connectionist Hybrid Natural Language Processor
In recent years, the Natural Language Processing scene has witnessed the steady growth of interest in connectionist modeling. The main appeal of such an approach is that one does n...
João Luís Garcia Rosa, Edson Fran&cc...