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» Knowledge Extraction from Local Function Networks
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IPMI
2003
Springer
14 years 20 days ago
Knowledge-Driven Automated Extraction of the Human Cerebral Ventricular System from MR Images
This work presents an efficient and automated method to extract the human cerebral ventricular system from MRI driven by anatomic knowledge. The ventricular system is divided into ...
Yan Xia, Qingmao Hu, Aamer Aziz, Wieslaw Lucjan No...
WIOPT
2010
IEEE
13 years 5 months ago
Enhancing RRM optimization using a priori knowledge for automated troubleshooting
—The paper presents a methodology that combines statistical learning with constraint optimization by locally optimizing Radio Resource Management (RRM) or system parameters of po...
Moazzam Islam Tiwana, Zwi Altman, Berna Sayra&cced...
AIIA
2001
Springer
13 years 12 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
BMCBI
2006
174views more  BMCBI 2006»
13 years 7 months ago
Genome wide prediction of protein function via a generic knowledge discovery approach based on evidence integration
Background: The automation of many common molecular biology techniques has resulted in the accumulation of vast quantities of experimental data. One of the major challenges now fa...
Jianghui Xiong, Simon Rayner, Kunyi Luo, Yinghui L...
MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 9 months ago
Extracting Object Regions Using Locally Estimated Probability Density Functions
In this paper, a novel method for estimating a precise object region using a given rough object region is proposed. For determining whether each pixel belongs to an object or not,...
Hidenori Takeshima, Takashi Ida, Toshimitsu Kaneko