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CVPR
2007
IEEE
16 years 3 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,...
EMMCVPR
1999
Springer
15 years 6 months ago
Markov Random Field Modelling of fMRI Data Using a Mean Field EM-algorithm
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
Markus Svensén, Frithjof Kruggel, D. Yves v...
IWOCA
2009
Springer
132views Algorithms» more  IWOCA 2009»
15 years 8 months ago
Fast Convolutions and Their Applications in Approximate String Matching
We develop a method for performing boolean convolutions efficiently in word RAM model of computation, having a word size of w = Ω(log n) bits, where n is the input size. The tech...
Kimmo Fredriksson, Szymon Grabowski
121
Voted
WM
2003
15 years 3 months ago
Worlds, Models, and KM
Techniques for computation on generalized diagrams are defined and the KM implications are explored. Descriptive Computing is presented and plan computation based on world models t...
Cyrus F. Nourani
EICS
2010
ACM
15 years 3 months ago
Xplain: an editor for building self-explanatory user interfaces by model-driven engineering
Modern User Interfaces (UI) must deal with the increasing complexity of applications in terms of functionality as well as new properties as plasticity. The plasticity of a UI deno...
Alfonso García Frey, Gaëlle Calvary, S...