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COMPSAC
2004
IEEE
15 years 7 months ago
Implementing Hierarchical Features in a Graphically Based Formal Modelling Language
Many developers who could benefit from building and analysing formal models of their systems are deterred from doing so by the process algebra style input languages of formal mode...
Peter Henderson, Robert John Walters, Stephen Crou...
141
Voted
CORR
2006
Springer
102views Education» more  CORR 2006»
15 years 3 months ago
Structural Inference of Hierarchies in Networks
One property of networks that has received comparatively little attention is hierarchy, i.e., the property of having vertices that cluster together in groups, which then join to f...
Aaron Clauset, Cristopher Moore, M. E. J. Newman
125
Voted
CVPR
2007
IEEE
16 years 5 months ago
Hierarchical Learning of Curves Application to Guidewire Localization in Fluoroscopy
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
136
Voted
NIPS
2004
15 years 5 months ago
Joint Tracking of Pose, Expression, and Texture using Conditionally Gaussian Filters
We present a generative model and stochastic filtering algorithm for simultaneous tracking of 3D position and orientation, non-rigid motion, object texture, and background texture...
Tim K. Marks, John R. Hershey, J. Cooper Roddey, J...
ACL
2009
15 years 1 months ago
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda