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MICCAI
2005
Springer
14 years 9 months ago
Particle Filters, a Quasi-Monte Carlo Solution for Segmentation of Coronaries
Abstract. In this paper we propose a Particle Filter-based approach for the segmentation of coronary arteries. To this end, successive planes of the vessel are modeled as unknown s...
Charles Florin, Nikos Paragios, James Williams
CVPR
2008
IEEE
13 years 9 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin
ICTAI
2010
IEEE
13 years 6 months ago
A Semantic Similarity Language Model to Improve Automatic Image Annotation
In recent years, with the rapid proliferation of digital images, the need to search and retrieve the images accurately, efficiently, and conveniently is becoming more acute. Automa...
Tianxia Gong, Shimiao Li, Chew Lim Tan
ISBI
2006
IEEE
14 years 9 months ago
Mixture principal component analysis for distribution volume parametric imaging in brain PET studies
In this paper, we present a mixture Principal Component Analysis (mPCA)-based approach for voxel level quantification of dynamic positron emission tomography (PET) data in brain s...
Peng Qiu, Z. Jane Wang, K. J. Ray Liu
ECCV
2002
Springer
14 years 10 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu