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MICCAI
2010
Springer
15 years 4 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...
JAIR
2011
114views more  JAIR 2011»
14 years 9 months ago
Properties of Bethe Free Energies and Message Passing in Gaussian Models
We address the problem of computing approximate marginals in Gaussian probabilistic models by using mean field and fractional Bethe approximations. We define the Gaussian fracti...
Botond Cseke, Tom Heskes
FGR
1998
IEEE
110views Biometrics» more  FGR 1998»
15 years 11 months ago
Dynamic Models of Human Motion
This paper describes experiments in human motion understanding, defined here as estimation of the physical state of the body (the Plant) combined with interpretation of that part ...
Christopher Richard Wren, Alex Pentland
ICRA
2010
IEEE
162views Robotics» more  ICRA 2010»
15 years 5 months ago
Comparing and modeling distributed control strategies for miniature self-assembling robots
— We propose two contrasting approaches to the scalable distributed control of a swarm of self-assembling miniaturized robots, specifically the formation of chains of a desired ...
William C. Evans, Grégory Mermoud, Alcherio...
CVPR
2007
IEEE
16 years 8 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar