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» Image classification using hybrid neural networks
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ICANN
2009
Springer
14 years 2 months ago
Learning Features by Contrasting Natural Images with Noise
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
Michael Gutmann, Aapo Hyvärinen
INFFUS
2002
155views more  INFFUS 2002»
13 years 7 months ago
Image fusion techniques for remote sensing applications
Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts. The aim...
G. Simone, Alfonso Farina, Francesco Carlo Morabit...
IJISTA
2010
100views more  IJISTA 2010»
13 years 6 months ago
Development of an awakening detection system with the NN and adaptation for fluctuation of brightness quantity in the captured i
Recently, accidents such that seniors fall down from the bed in care facilities or hospitals are increased. To prevent these accidents, we have developed an awakening detection sys...
Nobuhisa Yamanaka, Hironobu Satoh, Fumiaki Takeda
ECCV
2000
Springer
14 years 9 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
DICTA
2007
13 years 9 months ago
K-means Clustering for Classifying Unlabelled MRI Data
Texture analysis of the liver for the diagnosis of cirrhosis is usually region-of-interest (ROI) based. Integrity of the label of ROI data may be a problem due to sampling. This p...
Gobert N. Lee, Hiroshi Fujita