Stochastic approach to texture analysis using probabilistic neural networks and Markov random fields

Mapping Intimacies ◽

10.1117/12.292761 ◽

1997 ◽

Author(s):

Jamshid Dehmeshki ◽

Mohammad F. Daemi ◽

Fraser N. Hatfield ◽

Mehdi Rashidi

Keyword(s):

Neural Networks ◽

Texture Analysis ◽

Random Fields ◽

Markov Random Fields ◽

Stochastic Approach ◽

Probabilistic Neural Networks ◽

Download Full-text

Improved object segmentation using Markov random fields, artificial neural networks, and parallel processing techniques

10.1117/12.280826 ◽

1997 ◽

Author(s):

Stephen B. Foulkes ◽

David M. Booth

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Parallel Processing ◽

Random Fields ◽

Markov Random Fields ◽

Object Segmentation ◽

Markov Random ◽

Artificial Neural ◽

Processing Techniques

Download Full-text

Classification of multitemporal SAR images using convolutional neural networks and Markov random fields

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) ◽

10.1109/igarss.2017.8127432 ◽

2017 ◽

Author(s):

Carolyne Danilla ◽

Claudio Persello ◽

Valentyn Tolpekin ◽

John Ray Bergado

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Download Full-text

Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2016.272 ◽

2016 ◽

Author(s):

Chuan Li ◽

Michael Wand

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Image Synthesis ◽

Download Full-text

Processing CsI(Tl) 2-D matrices by means of neural networks and Markov random fields

IEEE Transactions on Nuclear Science ◽

10.1109/tns.2002.801704 ◽

2002 ◽

Vol 49 (4) ◽

pp. 1661-1668 ◽

Author(s):

M. Alderighi ◽

A. Anzalone ◽

R. Baruzzi ◽

G. Cardella ◽

E. De Filippo ◽

...

Keyword(s):

Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Download Full-text

Texture analysis through Markov random fields: urban areas extraction

Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348) ◽

10.1109/icip.1999.819629 ◽

2003 ◽

Author(s):

A. Lorette ◽

X. Descombes ◽

J. Zerubia

Keyword(s):

Texture Analysis ◽

Random Fields ◽

Urban Areas ◽

Markov Random Fields ◽

Download Full-text

Texture Analysis of the Retinal Nerve Fiber Layer in Fundus Images via Markov Random Fields

IFMBE Proceedings - World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany ◽

10.1007/978-3-642-03891-4_66 ◽

2009 ◽

pp. 247-250 ◽

Author(s):

R. Kolář ◽

P. Vácha

Keyword(s):

Nerve Fiber ◽

Texture Analysis ◽

Retinal Nerve Fiber Layer ◽

Random Fields ◽

Markov Random Fields ◽

Fundus Images ◽

Fiber Layer ◽

Nerve Fiber Layer ◽

Markov Random ◽

Retinal Nerve Fiber

Download Full-text

Segmentation of seafloor sidescan imagery using Markov random fields and neural networks

Proceedings of OCEANS '93 ◽

10.1109/oceans.1993.326232 ◽

2002 ◽

Author(s):

M. Jiang ◽

W.K. Stewart ◽

M. Marra

Keyword(s):

Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Download Full-text

Comparing Cooccurrence Probabilities and Markov Random Fields for Texture Analysis of SAR Sea Ice Imagery

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2003.817218 ◽

2004 ◽

Vol 42 (1) ◽

pp. 215-228 ◽

Author(s):

D.A. Clausi ◽

B. Yue

Keyword(s):

Sea Ice ◽

Texture Analysis ◽

Random Fields ◽

Markov Random Fields ◽

Download Full-text

Layout design using neural networks and Markov random fields

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) ◽

10.1109/ijcnn.1993.714030 ◽

2005 ◽

Author(s):

G. Paass

Keyword(s):

Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Layout Design ◽

Download Full-text

Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation

Neural Networks ◽

10.1016/j.neunet.2020.03.003 ◽

2020 ◽

Vol 126 ◽

pp. 42-51 ◽

Author(s):

Yajing Zheng ◽

Shanshan Jia ◽

Zhaofei Yu ◽

Tiejun Huang ◽

Jian K. Liu ◽

...

Keyword(s):

Neural Networks ◽

Random Fields ◽

Markov Random Fields ◽

Probabilistic Inference ◽

Field Approximation ◽

Spiking Neural Networks ◽

Mean Field Approximation ◽

Download Full-text