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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
CAISE
2004
Springer
15 years 3 months ago
MT-Flow - An Environment for Workflow-Supported Model Transformations in MDA
Abstract. Specification of systems in a software product line (product-line members) is often supported by domain-specific languages (DSLs) that provide pownguage abstractions for ...
Jernej Kovse, Theo Härder
CVPR
2012
IEEE
13 years 2 days ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
CVIU
2008
126views more  CVIU 2008»
14 years 9 months ago
Optimising dynamic graphical models for video content analysis
A key problem in video content analysis using dynamic graphical models is to learn a suitable model structure given some observed visual data. We propose a Completed Likelihood AI...
Tao Xiang, Shaogang Gong
VIS
2004
IEEE
222views Visualization» more  VIS 2004»
15 years 11 months ago
Non-Linear Model Fitting to Parameterize Diseased Blood Vessels
Accurate estimation of vessel parameters is a prerequisite for automated visualization and analysis of healthy and diseased blood vessels. The objective of this research is to est...
Alexandra La Cruz, Matús Straka, Arnold K&o...