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» Display of Vector Fields Using a Reaction-Diffusion Model
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CRV
2004
IEEE
160views Robotics» more  CRV 2004»
13 years 11 months ago
A New Integrative Approach to Time Varying Image Interpretation
- This paper presents a global method to process monocular image sequences for mobile robot obstacle detection. We do not aim to achieve a complete scene reconstruction, but only t...
Philippe Guermeur
CIKM
2008
Springer
13 years 9 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
JMLR
2006
134views more  JMLR 2006»
13 years 7 months ago
Considering Cost Asymmetry in Learning Classifiers
Receiver Operating Characteristic (ROC) curves are a standard way to display the performance of a set of binary classifiers for all feasible ratios of the costs associated with fa...
Francis R. Bach, David Heckerman, Eric Horvitz
ISBI
2006
IEEE
14 years 8 months ago
A diffusion tensor imaging tractography algorithm based on Navier-Stokes fluid mechanics
We introduce a method for estimating regional connectivity in diffusion tensor magnetic resonance imaging (DT-MRI) based on a fluid mechanics model. We customize the Navier-Stokes...
Nathan S. Hageman, David W. Shattuck, Katherine Na...
VISUALIZATION
1998
IEEE
14 years 7 hour ago
Comparing LIC and spot noise
Spot noise and line integral convolution (LIC) are two texture synthesis techniques for vector field visualization. In this paper the two techniques are compared. Continuous direc...
Wim C. de Leeuw, Robert van Liere