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TVCG
2012
180views Hardware» more  TVCG 2012»
12 years 12 months ago
Feature-Driven Data Exploration for Volumetric Rendering
Abstract—We have developed an intuitive method to semi-automatically explore volumetric data in a focus-region-guided or valuedriven way using a user defined ray through the 3D ...
Insoo Woo, Ross Maciejewski, Kelly P. Gaither, Dav...
ESWA
2008
141views more  ESWA 2008»
14 years 9 months ago
Classifier design with feature selection and feature extraction using layered genetic programming
This paper proposes a novel method called FLGP to construct a classifier device of capability in feature selection and feature extraction. FLGP is developed with layered genetic p...
Jung-Yi Lin, Hao-Ren Ke, Been-Chian Chien, Wei-Pan...
88
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ICPR
2002
IEEE
15 years 10 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang
ICTAI
2010
IEEE
14 years 6 months ago
Unsupervised Greedy Learning of Finite Mixture Models
This work deals with a new technique for the estimation of the parameters and number of components in a finite mixture model. The learning procedure is performed by means of a expe...
Nicola Greggio, Alexandre Bernardino, Cecilia Lasc...
ICPR
2006
IEEE
15 years 10 months ago
Exploiting High Dimensional Video Features Using Layered Gaussian Mixture Models
Analysis of video data usually requires training classifiers in high dimensional feature spaces. This paper proposes a layered Gaussian mixture model (LGMM) to exploit high dimens...
Datong Chen, Jie Yang