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TVCG
2012
180views Hardware» more  TVCG 2012»
11 years 8 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»
13 years 5 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...
ICPR
2002
IEEE
14 years 6 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
13 years 2 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
14 years 6 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