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NAACL
2007
13 years 9 months ago
Data-Driven Graph Construction for Semi-Supervised Graph-Based Learning in NLP
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
Andrei Alexandrescu, Katrin Kirchhoff
CORR
2010
Springer
132views Education» more  CORR 2010»
13 years 2 months ago
Automated co-evolution of GMF editor models
Abstract. The Eclipse Graphical Modeling (GMF) Framework provides the major approach for implementing visual languages on top of the Eclipse platform. GMF relies on a family of mod...
Davide Di Ruscio, Ralf Lämmel, Alfonso Pieran...
CGF
2008
92views more  CGF 2008»
13 years 8 months ago
Pointwise radial minimization: Hermite interpolation on arbitrary domains
In this paper we propose a new kind of Hermite interpolation on arbitrary domains, matching derivative data of arbitrary order on the boundary. The basic idea stems from an interp...
Michael S. Floater, C. Schulz
CVPR
2005
IEEE
14 years 10 months ago
Kernel-Based Bayesian Filtering for Object Tracking
Particle filtering provides a general framework for propagating probability density functions in non-linear and non-Gaussian systems. However, the algorithm is based on a Monte Ca...
Bohyung Han, Ying Zhu, Dorin Comaniciu, Larry S. D...
ISRR
2005
Springer
111views Robotics» more  ISRR 2005»
14 years 1 months ago
Bias Reduction and Filter Convergence for Long Range Stereo
We are concerned here with improving long range stereo by filtering image sequences. Traditionally, measurement errors from stereo camera systems have been approximated as 3-D Gau...
Gabe Sibley, Larry Matthies, Gaurav S. Sukhatme