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» Segments Matching Using a Neural Network Approach
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BMCBI
2004
133views more  BMCBI 2004»
14 years 9 months ago
Artificial neural network approach for selection of susceptible single nucleotide polymorphisms and construction of prediction m
Background: Screening of various gene markers such as single nucleotide polymorphism (SNP) and correlation between these markers and development of multifactorial disease have pre...
Yasuyuki Tomita, Shuta Tomida, Yuko Hasegawa, Yoic...
96
Voted
ECCV
2008
Springer
15 years 11 months ago
Stereo Matching: An Outlier Confidence Approach
One of the major challenges in stereo matching is to handle partial occlusions. In this paper, we introduce the Outlier Confidence (OC) which dynamically measures how likely one pi...
Li Xu, Jiaya Jia
93
Voted
ISBI
2008
IEEE
15 years 4 months ago
An optimal-path approach for neural circuit reconstruction
Neurobiologists are collecting large amounts of electron microscopy image data to gain a better understanding of neuron organization in the central nervous system. Image analysis ...
Elizabeth Jurrus, Ross T. Whitaker, Bryan W. Jones...
82
Voted
IJCNN
2006
IEEE
15 years 3 months ago
An Integrated Soft Computing Approach for Predicting Biological Activity of Potential HIV-1 Protease Inhibitors
Abstract— Using a neural network-fuzzy logic-genetic algorithm approach we generate an optimal predictor for biological activities of HIV-1 protease potential inhibitory compound...
Razvan Andonie, Levente Fabry-Asztalos, Sarah Abdu...
ISCAS
1994
IEEE
104views Hardware» more  ISCAS 1994»
15 years 1 months ago
Stereo Correspondence with Discrete-Time Cellular Neural Networks
In this paper, we propose a new approach of solving the stereopsis problem with a discrete-time cellular neural network(DTCNN) where each node has connectionsonly with its local n...
Sungjun Park, Seung-Jai Min, Soo-Ik Chae