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Publications ~ Support Vector Machines Friday, November 24th 2017, 08:20

Publications about Support Vector Machines

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PhD Thesis and Habilitation
1 - Détection de zones brûlées après un feu de forêt à partir d'une seule image satellitaire SPOT 5 par techniques SVM.
O. Zammit. PhD Thesis, Universite de Nice Sophia Antipolis, September 2008.
Keywords : Classification, Satellite images, Burnt areas, Forest fires, Support Vector Machines, Region Growing.
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9 Conference articles
1 - Multi-spectral Image Analysis for Skin Pigmentation Classification.
S. Prigent and X. Descombes and D. Zugaj and P. Martel and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Hong-Kong, China, September 2010.
Keywords : skin hyper-pigmentation, Multi-spectral images, Support Vector Machines, Independant Component Analysis, Data reduction.
2 - Spectral Analysis and Unsupervised SVM Classification for Skin Hyper-pigmentation Classification.
S. Prigent and X. Descombes and D. Zugaj and J. Zerubia. In Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS), Reykjavik, Iceland, June 2010.
Keywords : Sectral analysis, Data reduction, Projection pursuit, Support Vector Machines, skin hyper-pigmentation.
3 - Multi-class SVM for forestry classification.
N. Hajj Chehade and JG. Boureau and C. Vidal and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Cairo, Egypt, November 2009.
Keywords : Support Vector Machines, texture segmentation, Haralick feature, remote sensing, Forest vegetation.
4 - Unsupervised One-Class SVM Using a Watershed Algorithm and Hysteresis Thresholding to Detect Burnt Areas.
O. Zammit and X. Descombes and J. Zerubia. In Proc. International Conference on Pattern Recognition and Image Analysis (PRIA), Nizhny Novgorod, Russia, September 2008.
Keywords : Classification, Segmentation, Support Vector Machines, Burnt areas, Forest fires, Satellite images.
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5 - Combining One-Class Support Vector Machines and hysteresis thresholding: application to burnt area mapping.
O. Zammit and X. Descombes and J. Zerubia. In Proc. European Signal Processing Conference (EUSIPCO), Lausanne, Switzerland, August 2008.
Note : to appear.
Keywords : Classification, Satellite images, Support Vector Machines, Burnt areas, Forest fires, Clustering.
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6 - Apprentissage non supervisé des SVM par un algorithme des K-moyennes entropique pour la détection de zones brûlées.
O. Zammit and X. Descombes and J. Zerubia. In Proc. GRETSI Symposium on Signal and Image Processing, Troyes, France, September 2007.
Keywords : Satellite images, Forest fires, Burnt areas, Classification, Support Vector Machines, Learning base.
7 - Assessment of different classification algorithms for burnt land discrimination.
O. Zammit and X. Descombes and J. Zerubia. In Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), pages 3000-3003, Barcelone, Spain, July 2007.
Keywords : Satellite images, Burnt areas, Support Vector Machines, Forest fires, Classification.
Copyright : IEEE
8 - Burnt area mapping using Support Vector Machines.
O. Zammit and X. Descombes and J. Zerubia. In Proc. International Conference on Forest Fire Research, Figueira da Foz, Portugal, November 2006.
Keywords : Satellite images, Forest fires, Burnt areas, Support Vector Machines.
9 - Textural Kernel for SVM Classification in Remote Sensing : Application to Forest Fire Detection and Urban Area Extraction.
F. Lafarge and X. Descombes and J. Zerubia. In Proc. IEEE International Conference on Image Processing (ICIP), Genoa, Italy, September 2005.
Keywords : Support Vector Machines, Learning base, Markov Fields, Forest fires, Urban areas.
Copyright : IEEE

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