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MEMICS
2010
13 years 4 months ago
Haptic Rendering Based on RBF Approximation from Dynamically Updated Data
In this paper, an extension of our previous research focused on haptic rendering based on interpolation from precomputed data is presented. The technique employs the radial-basis ...
Jan Fousek, Tomas Golembiovsky, Jiri Filipovic, Ig...
ICPR
2008
IEEE
14 years 11 months ago
Approximating a non-homogeneous HMM with Dynamic Spatial Dirichlet Process
In this work we present a model that uses a Dirichlet Process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient ...
Haijun Ren, Leon N. Cooper, Liang Wu, Predrag Nesk...
JCP
2007
143views more  JCP 2007»
13 years 9 months ago
Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
Nicolas Chapados, Yoshua Bengio
SISAP
2009
IEEE
122views Data Mining» more  SISAP 2009»
14 years 4 months ago
Dynamic Spatial Approximation Trees for Massive Data
—Metric space searching is an emerging technique to address the problem of efficient similarity searching in many applications, including multimedia databases and other reposito...
Gonzalo Navarro, Nora Reyes
CORR
2010
Springer
102views Education» more  CORR 2010»
13 years 10 months ago
Error Analysis of Approximated PCRLBs for Nonlinear Dynamics
In practical nonlinear filtering, the assessment of achievable filtering performance is important. In this paper, we focus on the problem of how to efficiently approximate the post...
Ming Lei, Pierre Del Moral, Christophe Baehr