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  • 1-10 ل  12 نتائج ل ""démélange non linéaire""
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Conference

Online nonnegative matrix factorization based on kernel machines

Subjects: hyperspectral unmixing; data analysis; Gaussian processesNice; FranceNice, France

  • Source: Proc. 23rd European Conference on Signal Processing (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-01965987 ; Proc. 23rd European Conference on Signal Processing (EUSIPCO), 2015, Nice, France.

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Conference

Kernel non-negative matrix factorization without the pre-image problem

Subjects: nonlinear NMF; Kernel; AdditivesReims; France

  • Source: 24th IEEE Workshop on Machine Learning for Signal Processing, MLSP 2014https://hal.archives-ouvertes.fr/hal-0196599824th IEEE Workshop on Machine Learning for Signal Processing, MLSP 2014,

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Conference

Constrained reflect-then-combine methods for unmixing hyperspectral data

Subjects: reflect-then-combine iterative technique; image processing; iterative methodsGainesville; Florida; USA

  • Source: Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS) ; https://hal.science/hal-01966005 ; Proc. IEEE Workshop on Hyperspectral Image and Signal

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Conference

Constrained Kaczmarz's Cyclic Projections for Unmixing Hyperspectral Data

Subjects: adaptive filters; optimisation; constrained Kaczmarz cyclic projectionsMarrakech; Morocco

  • Source: Proc. 21th European Conference on Signal Processing (EUSIPCO) ; https://hal.science/hal-01966006 ; Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco. pp.1-5

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Conference

Constrained reflect-then-combine methods for unmixing hyperspectral data

Subjects: Cimmino's method; parallel projection; Mathematical modelGainesville; Florida; USA

  • Source: Proc. IEEE Workshop on Hyperspectral Image and Signal Processing : Evolution in Remote Sensing (WHISPERS) ; https://hal.archives-ouvertes.fr/hal-01966005 ; Proc. IEEE Workshop on Hyperspectral Image

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Conference

Constrained Kaczmarz's Cyclic Projections for Unmixing Hyperspectral Data

Subjects: hyperspectral data processing; Optimized production technology; Hyperspectral imagingMarrakech; Morocco

  • Source: Proc. 21th European Conference on Signal Processing (EUSIPCO) ; https://hal.archives-ouvertes.fr/hal-01966006 ; Proc. 21th European Conference on Signal Processing (EUSIPCO), 2013, Marrakech, Morocco.

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Academic Journal

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach

Subjects: Endmember number; Random matrix theory(RMT); Sample covariance matrix

  • Source: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal.science/hal-01325467 ; IEEE Transactions on Geoscience and Remote Sensing, 2016, vol. 54 (n° 7), pp.3811-3821.

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Academic Journal

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach

Subjects: Endmember number; Random matrix theory(RMT); Sample covariance matrix

  • Source: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal.science/hal-01325467 ; IEEE Transactions on Geoscience and Remote Sensing, 2016, vol. 54 (n° 7), pp.3811-3821.

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Academic Journal

Bi-objective Nonnegative Matrix Factorization: Linear Versus Kernel-based Models

Subjects: biobjective nonnegative matrix factorization; matrix decomposition; Pareto optimization

  • Source: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal.science/hal-01965048 ; IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (7), pp.4012 - 4022.

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Academic Journal

Estimating the Intrinsic Dimension of Hyperspectral Images Using a Noise-Whitened Eigengap Approach

Subjects: Endmember number; Random matrix theory(RMT); Sample covariance matrix

  • Source: ISSN: 0196-2892 ; IEEE Transactions on Geoscience and Remote Sensing ; https://hal.science/hal-01325467 ; IEEE Transactions on Geoscience and Remote Sensing, 2016, vol. 54 (n° 7), pp.3811-3821.

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