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SIGIR
2005
ACM
14 years 2 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
14 years 2 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
11 years 11 months 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»
13 years 8 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»
14 years 10 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...