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ICPR
2006
IEEE
16 years 6 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
NN
2000
Springer
123views Neural Networks» more  NN 2000»
15 years 4 months ago
Local minima and plateaus in hierarchical structures of multilayer perceptrons
Local minima and plateaus pose a serious problem in learning of neural networks. We investigate the hierarchical geometric structure of the parameter space of three-layer perceptr...
Kenji Fukumizu, Shun-ichi Amari
NC
2007
123views Neural Networks» more  NC 2007»
15 years 4 months ago
The complexity of latching transitions in large scale cortical networks
Abstract. We study latching dynamics, i.e. the ability of a network to hop spontaneously from one discrete attractor state to another, which has been proposed as a model of an inï¬...
Emilio Kropff, Alessandro Treves
ICMCS
2005
IEEE
151views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Face and Eye Rectification in Video Conference Using Artificial Neural Network
The lack of eye contact in video conference degrades the user’s experience. This problem has been known and studied for many years. There are hardware-based solutions to the eye...
Ben Yip
TNN
2008
181views more  TNN 2008»
15 years 4 months ago
Optimized Approximation Algorithm in Neural Networks Without Overfitting
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
Yinyin Liu, Janusz A. Starzyk, Zhen Zhu