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Results: 1-16 |
Results: 16
A new search algorithm for feature selection in hyperspectral remote sensing images
Authors: Serpico, SB Bruzzone, L
Citation: Sb. Serpico et L. Bruzzone, A new search algorithm for feature selection in hyperspectral remote sensing images, IEEE GEOSCI, 39(7), 2001, pp. 1360-1367
Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images
Authors: Bruzzone, L Prieto, DF
Citation: L. Bruzzone et Df. Prieto, Unsupervised retraining of a maximum likelihood classifier for the analysis of multitemporal remote sensing images, IEEE GEOSCI, 39(2), 2001, pp. 456-460
Room-temperature phosphorescent complexes with macromolecular assemblies and their (bio)chemical applications
Authors: Bruzzone, L Badia, R Garcia, MED
Citation: L. Bruzzone et al., Room-temperature phosphorescent complexes with macromolecular assemblies and their (bio)chemical applications, CR R ANAL C, 30(2-3), 2000, pp. 163-178
A possible role of oxidative stress in the vanadium-induced cytotoxicity in the MC3T3E1 osteoblast and UMR106 osteosarcoma cell lines
Authors: Cortizo, AM Bruzzone, L Molinuevo, S Etcheverry, SB
Citation: Am. Cortizo et al., A possible role of oxidative stress in the vanadium-induced cytotoxicity in the MC3T3E1 osteoblast and UMR106 osteosarcoma cell lines, TOXICOLOGY, 147(2), 2000, pp. 89-99
Automatic analysis of the difference image for unsupervised change detection
Authors: Bruzzone, L Prieto, DF
Citation: L. Bruzzone et Df. Prieto, Automatic analysis of the difference image for unsupervised change detection, IEEE GEOSCI, 38(3), 2000, pp. 1171-1182
An approach to feature selection and classification of remote sensing images based on the Bayes rule for minimum cost
Authors: Bruzzone, L
Citation: L. Bruzzone, An approach to feature selection and classification of remote sensing images based on the Bayes rule for minimum cost, IEEE GEOSCI, 38(1), 2000, pp. 429-438
Combination of neural and statistical algorithms for supervised classification of remote-sensing images
Authors: Giacinto, G Roli, F Bruzzone, L
Citation: G. Giacinto et al., Combination of neural and statistical algorithms for supervised classification of remote-sensing images, PATT REC L, 21(5), 2000, pp. 385-397
An adaptive parcel-based technique for unsupervised change detection
Authors: Bruzzone, L Prieto, DF
Citation: L. Bruzzone et Df. Prieto, An adaptive parcel-based technique for unsupervised change detection, INT J REMOT, 21(4), 2000, pp. 817-822
A technique for feature selection in multiclass problems
Authors: Bruzzone, L Serpico, SB
Citation: L. Bruzzone et Sb. Serpico, A technique for feature selection in multiclass problems, INT J REMOT, 21(3), 2000, pp. 549-563
A minimum-cost thresholding technique for unsupervised change detection
Authors: Bruzzone, L Prieto, DF
Citation: L. Bruzzone et Df. Prieto, A minimum-cost thresholding technique for unsupervised change detection, INT J REMOT, 21(18), 2000, pp. 3539-3544
Fluorimetric flow through sensors for pesticides based on a "host guest" recognition mechanism
Authors: Badia, R Bruzzone, L Diaz-Garcia, ME
Citation: R. Badia et al., Fluorimetric flow through sensors for pesticides based on a "host guest" recognition mechanism, QUIM ANAL, 18, 1999, pp. 114-118
A neural-statistical approach to multitemporal and multisource remote-sensing image classification
Authors: Bruzzone, L Prieto, DF Serpico, SB
Citation: L. Bruzzone et al., A neural-statistical approach to multitemporal and multisource remote-sensing image classification, IEEE GEOSCI, 37(3), 1999, pp. 1350-1359
A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images
Authors: Bruzzone, L Prieto, DF
Citation: L. Bruzzone et Df. Prieto, A technique for the selection of kernel-function parameters in RBF neural networks for classification of remote-sensing images, IEEE GEOSCI, 37(2), 1999, pp. 1179-1184
An incremental-learning neural network for the classification of remote-sensing images
Authors: Bruzzone, L Prieto, DF
Citation: L. Bruzzone et Df. Prieto, An incremental-learning neural network for the classification of remote-sensing images, PATT REC L, 20(11-13), 1999, pp. 1241-1248
Substituted N-phenoxyethylanilines: preparation and acid base properties evaluation by fluorescence spectrometry
Authors: Autino, JC Bruzzone, L Romanelli, GP Jios, JL Ancinas, HA
Citation: Jc. Autino et al., Substituted N-phenoxyethylanilines: preparation and acid base properties evaluation by fluorescence spectrometry, AN QUIM-INT, 94(4-5), 1998, pp. 292-294
A simple upper bound to the Bayes error probability for feature selection
Authors: Bruzzone, L Serpico, SB
Citation: L. Bruzzone et Sb. Serpico, A simple upper bound to the Bayes error probability for feature selection, KYBERNETIKA, 34(4), 1998, pp. 387-392
Risultati: 1-16 |