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» Recognizing Emphysema- A Neural Network Approach
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ICPR
2002
IEEE
14 years 5 months ago
Recognizing Emphysema- A Neural Network Approach
An accurate and fully automatic method for detecting and quantifying emphysema in CT-images is presented. The method is based on an image preprocessing step followed by a neural n...
Hans Knutsson, Magnus Borga, Mikael Lundberg, Ola ...
NN
2008
Springer
104views Neural Networks» more  NN 2008»
13 years 4 months ago
Recognizing emotions expressed by body pose: A biologically inspired neural model
Research into the visual perception of human emotion has traditionally focused on the facial expression of emotions. Recently researchers have turned to the more challenging field...
Konrad Schindler, Luc J. Van Gool, Béatrice...
TNN
2008
88views more  TNN 2008»
13 years 4 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
TSD
2010
Springer
13 years 2 months ago
Adaptation of a Feedforward Artificial Neural Network Using a Linear Transform
In this paper we present a novel method for adaptation of a multi-layer perceptron neural network (MLP ANN). Nowadays, the adaptation of the ANN is usually done as an incremental r...
Jan Trmal, Jan Zelinka, Ludek Müller
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 4 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter