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162
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ICPR
2006
IEEE
16 years 3 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
63
Voted
BIOINFORMATICS
1999
77views more  BIOINFORMATICS 1999»
15 years 2 months ago
Neural network input representations that produce accurate consensus sequences from DNA fragment assemblies
Carolyn F. Allex, Jude W. Shavlik, Frederick R. Bl...
115
Voted
IJCNN
2006
IEEE
15 years 8 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
122
Voted
IJCNN
2007
IEEE
15 years 9 months ago
An Associative Memory for Association Rule Mining
— Association Rule Mining is a thoroughly studied problem in Data Mining. Its solution has been aimed for by approaches based on different strategies involving, for instance, the...
Vicente O. Baez-Monroy, Simon O'Keefe
119
Voted
IJCNN
2000
IEEE
15 years 7 months ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan