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BMCBI
2008
138views more  BMCBI 2008»
13 years 9 months ago
Using neural networks and evolutionary information in decoy discrimination for protein tertiary structure prediction
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
Ching-Wai Tan, David T. Jones
NN
2007
Springer
13 years 8 months ago
Recurrent neural network modeling of nearshore sandbar behavior
The temporal evolution of nearshore sandbars (alongshore ridges of sand fringing coasts in water depths less than 10 m and of paramount importance for coastal safety) is commonly ...
Leo Pape, B. Gerben Ruessink, Marco A. Wiering, Ia...
CVPR
1998
IEEE
14 years 10 months ago
Rotation Invariant Neural Network-Based Face Detection
In this paper, we present a neural network-based face detection system. Unlike similar systems which are limited to detecting upright, frontal faces, this system detects faces at ...
Henry A. Rowley, Shumeet Baluja, Takeo Kanade
EUROCOLT
1997
Springer
14 years 28 days ago
Vapnik-Chervonenkis Dimension of Recurrent Neural Networks
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
Pascal Koiran, Eduardo D. Sontag
ICIP
1998
IEEE
14 years 10 months ago
A Neural Network based Scheme for Unsupervised Video Object Segmentation
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...