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» Hybrid computing algorithm in representing solid model
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GECCO
2008
Springer
177views Optimization» more  GECCO 2008»
15 years 4 months ago
Reduced computation for evolutionary optimization in noisy environment
Evolutionary Algorithms’ (EAs’) application to real world optimization problems often involves expensive fitness function evaluation. Naturally this has a crippling effect on ...
Maumita Bhattacharya
CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
141
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ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
15 years 9 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
GMP
2006
IEEE
120views Solid Modeling» more  GMP 2006»
15 years 9 months ago
Straightest Paths on Meshes by Cutting Planes
Geodesic paths and distances on meshes are used for many applications such as parameterization, remeshing, mesh segmentation, and simulations of natural phenomena. Noble works to c...
Sungyeol Lee, Joonhee Han, Haeyoung Lee
TOG
2002
208views more  TOG 2002»
15 years 2 months ago
Articulated body deformation from range scan data
This paper presents an example-based method for calculating skeleton-driven body deformations. Our example data consists of range scans of a human body in a variety of poses. Usin...
Brett Allen, Brian Curless, Zoran Popovic