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NN
2006
Springer
163views Neural Networks» more  NN 2006»
13 years 6 months ago
Machine learning approaches for estimation of prediction interval for the model output
A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles (constituting the pr...
Durga L. Shrestha, Dimitri P. Solomatine
ICPR
2008
IEEE
14 years 1 months ago
A probabilistic model for classifying segmented images
In this work we introduce a probabilistic model for classifying segmented images. The proposed classifier is very general and it can deal both with images that were segmented wit...
Liang Wu, Predrag Neskovic, Leon N. Cooper
IPMI
2007
Springer
14 years 7 months ago
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
Suyash P. Awate, James C. Gee
WILF
2009
Springer
487views Fuzzy Logic» more  WILF 2009»
14 years 5 months ago
A combined Fuzzy and Probabilistic data descriptor for distributed CBIR
With the wide diffusion of digital image acquisition devices, the cost of managing hundreds of digital images is quickly increasing. Currently, the main way to search digital ima...
Marco La Cascia, Marco Morana, Roberto Gallea
TFS
2008
131views more  TFS 2008»
13 years 6 months ago
A Fuzzy Qualitative Framework for Connecting Robot Qualitative and Quantitative Representations
Abstract-- This paper proposes a novel framework for describing articulated robot kinematics motion with the goal of providing a unified representation by combining symbolic or qua...
Honghai Liu