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DAGM
2006
Springer
15 years 9 months ago
Robust Variational Segmentation of 3D Objects from Multiple Views
We propose a probabilistic formulation of 3D segmentation given a series of images from calibrated cameras. Instead of segmenting each image separately in order to build a 3D surfa...
Kalin Kolev, Thomas Brox, Daniel Cremers
UAI
2008
15 years 7 months ago
Multi-View Learning over Structured and Non-Identical Outputs
In many machine learning problems, labeled training data is limited but unlabeled data is ample. Some of these problems have instances that can be factored into multiple views, ea...
Kuzman Ganchev, João Graça, John Bli...
SOCO
2008
Springer
15 years 5 months ago
A particular Gaussian mixture model for clustering and its application to image retrieval
We introduce a new method for data clustering based on a particular Gaussian mixture model (GMM). Each cluster of data, modeled as a GMM into an input space, is interpreted as a hy...
Hichem Sahbi
MICCAI
2010
Springer
15 years 3 months ago
A Generative Model for Brain Tumor Segmentation in Multi-Modal Images
Abstract. We introduce a generative probabilistic model for segmentation of tumors in multi-dimensional images. The model allows for different tumor boundaries in each channel, ref...
Bjoern H. Menze, Koenraad Van Leemput, Danial Lash...
JMLR
2010
218views more  JMLR 2010»
15 years 11 days ago
Simple Exponential Family PCA
Bayesian principal component analysis (BPCA), a probabilistic reformulation of PCA with Bayesian model selection, is a systematic approach to determining the number of essential p...
Jun Li, Dacheng Tao