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ACCV
2010
Springer
13 years 3 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
HICSS
2005
IEEE
151views Biometrics» more  HICSS 2005»
14 years 2 months ago
Inheritance in the Presence of Asynchronous Method Calls
— This paper considers a formal object-oriented model for distributed computing. Object orientation appears as a leading framework for concurrent and distributed systems. However...
Einar Broch Johnsen, Olaf Owe
CGF
2008
174views more  CGF 2008»
13 years 9 months ago
Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow
Typically, flow volumes are visualized by defining their boundary as iso-surface of a level set function. Grid-based level sets offer a good global representation but suffer from ...
Nicolas Cuntz, Andreas Kolb, Robert Strzodka, Dani...
WWW
2007
ACM
14 years 9 months ago
A clustering method for web data with multi-type interrelated components
Traditional clustering algorithms work on "flat" data, making the assumption that the data instances can only be represented by a set of homogeneous and uniform features...
Levent Bolelli, Seyda Ertekin, Ding Zhou, C. Lee G...
APBC
2004
132views Bioinformatics» more  APBC 2004»
13 years 10 months ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov