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» Non-Parametric Probabilistic Image Segmentation
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MICCAI
2009
Springer
14 years 10 days ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eļ¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
ICIP
2007
IEEE
14 years 9 months ago
Semantics-Based Video Indexing using a Stochastic Modeling Approach
Semantic video indexing is the first step towards automatic video retrieval and personalization. We propose a data-driven stochastic modeling approach to perform both video segmen...
Yong Wei, Suchendra M. Bhandarkar, Kang Li
CVPR
2009
IEEE
13 years 11 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
NIPS
2007
13 years 9 months ago
Learning Visual Attributes
We present a probabilistic generative model of visual attributes, together with an efļ¬cient learning algorithm. Attributes are visual qualities of objects, such as ā€˜redā€™, ā€...
Vittorio Ferrari, Andrew Zisserman
SIGIR
2005
ACM
14 years 1 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