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MICCAI
2010
Springer
13 years 7 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
ICCV
1999
IEEE
14 years 10 months ago
Mean Shift Analysis and Applications
A nonparametric estimator of density gradient, the mean shift, is employed in the joint, spatial-range (value) domain of gray level and color images for discontinuity preserving l...
Dorin Comaniciu, Peter Meer
FOCI
2007
IEEE
14 years 3 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
CVPR
2008
IEEE
14 years 10 months ago
Particle filtering for registration of 2D and 3D point sets with stochastic dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithm...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
TMC
2012
11 years 11 months ago
Message Drop and Scheduling in DTNs: Theory and Practice
Abstract—In order to achieve data delivery in Delay Tolerant Networks (DTN), researchers have proposed the use of store-carryand-forward protocols: a node there may store a messa...
Amir Krifa, Chadi Barakat, Thrasyvoulos Spyropoulo...