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COMGEO
2004
ACM
10 years 2 months ago
On simplifying dot maps
Dot maps--drawings of point sets--are a well known cartographic method to visualize density functions over an area. We study the problem of simplifying a given dot map: given a se...
Mark de Berg, Prosenjit Bose, Otfried Cheong, Pat ...
VC
2008
103views more  VC 2008»
10 years 2 months ago
GPU-based rendering of point-sampled water surfaces
Particle-based simulations are widely used to simulate fluids. We present a real-time rendering method for the results of particle-based simulations of water. Traditional approache...
Kei Iwasaki, Yoshinori Dobashi, Fujiichi Yoshimoto...
JC
2007
101views more  JC 2007»
10 years 2 months ago
Simple Monte Carlo and the Metropolis algorithm
We study the integration of functions with respect to an unknown density. Information is available as oracle calls to the integrand and to the nonnormalized density function. We ar...
Peter Mathé, Erich Novak
FLAIRS
2000
10 years 3 months ago
Overriding the Experts: A Stacking Method for Combining Marginal Classifiers
The design of an optimal Bayesian classifier for multiple features is dependent on the estimation of multidimensional joint probability density functions and therefore requires a ...
Mark D. Happel, Peter Bock
GLOBECOM
2007
IEEE
10 years 4 months ago
A SAGE Algorithm for Estimation of the Direction Power Spectrum of Individual Path Components
—In this contribution, the Fisher-Bingham-5 (FB5) probability density function (pdf) is used to model the shape of the direction power spectral density function (psdf) of individ...
Xuefeng Yin, Lingfeng Liu, Daniel K. Nielsen, Troe...
CDC
2009
IEEE
144views Control Systems» more  CDC 2009»
10 years 5 months ago
Combination of Lyapunov functions and density functions for stability of rotational motion
— Lyapunov methods and density functions provide dual characterizations of the solutions of a nonlinear dynamic system. This work exploits the idea of combining both techniques, ...
José Fernandes Vasconcelos, Anders Rantzer,...
ICCV
2003
IEEE
10 years 7 months ago
Computing MAP trajectories by representing, propagating and combining PDFs over groups
This paper addresses the problem of computing the trajectory of a camera from sparse positional measurements that have been obtained from visual localisation, and dense differenti...
Paul Smith, Tom Drummond, Kimon Roussopoulos
ICIAP
2005
ACM
10 years 8 months ago
Robust Particle Filtering for Object Tracking
Abstract. This paper addresses the filtering problem when no assumption about linearity or gaussianity is made on the involved density functions. This approach, widely known as pa...
Daniel Rowe, Ignasi Rius, Jordi Gonzàlez, J...
CVPR
2008
IEEE
11 years 4 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
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