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» Bayesian MLP neural networks for image analysis
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MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 2 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang
FUZZIEEE
2007
IEEE
15 years 3 months ago
Improved Adaptive Impulsive Noise Suppression
In this work an improved scheme for eliminating impulsive noise of varying strengths from corrupted images is proposed. A neural network is employed to classify the corrupted and n...
Pankaj Kumar Sa, Banshidhar Majhi, Ganapati Panda
148
Voted
AINA
2010
IEEE
15 years 26 days ago
Mnesic Evocation: An Isochron-Based Analysis
—Mnesic evocation occurs under the action of a stimulus. A successful evocation is observed as the overrun of a certain threshold of the neuronal activity followed by a medical i...
Hedi Ben Amor, Jacques Demongeot, Nicolas Glade
IJCNN
2000
IEEE
15 years 1 months ago
EM Algorithms for Self-Organizing Maps
eresting web-available abstracts and papers on clustering: An Analysis of Recent Work on Clustering Algorithms (1999), Daniel Fasulo : This paper describes four recent papers on cl...
Tom Heskes, Jan-Joost Spanjers, Wim Wiegerinck
ICIAP
2003
ACM
15 years 2 months ago
PCA vs low resolution images in face verification
Principal Components Analysis (PCA) has been one of the most applied methods for face verification using only 2D information, in fact, PCA is practically the method of choice for ...
Cristina Conde, Antonio Ruiz, Enrique Cabello