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Lorenzo Bruzzone :
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K. Saroj , Ashish Ghosh , B. Uma Shankar , Lorenzo Bruzzone Neuro-Fuzzy Fusion: A New Approach to Multiple Classifier System. [Citation Graph (0, 0)][DBLP ] ICIT, 2006, pp:209-212 [Conf ] Lorenzo Bruzzone , Fabio Roli , Sebastiano B. Serpico Crack Detection by a Measure of Texture Anisotropy. [Citation Graph (0, 0)][DBLP ] ICIAP, 1995, pp:743-747 [Conf ] Lorenzo Bruzzone , Diego Fernández Prieto An MRF Approach to Unsupervised Change Detection. [Citation Graph (0, 0)][DBLP ] ICIP (1), 1999, pp:143-147 [Conf ] Francesca Bovolo , Lorenzo Bruzzone An adaptive multiscale approach to unsupervised change detection in multitemporal SAR images. [Citation Graph (0, 0)][DBLP ] ICIP (1), 2005, pp:665-668 [Conf ] B. Uma Shankar , Saroj K. Meher , Ashish Ghosh , Lorenzo Bruzzone Remote Sensing Image Classification: A Neuro-fuzzy MCS Approach. [Citation Graph (0, 0)][DBLP ] ICVGIP, 2006, pp:128-139 [Conf ] Lorenzo Bruzzone , Roberto Cossu A Robust Multiple Classifier System for a Partially Unsupervised Updating of Land-Cover Maps. [Citation Graph (0, 0)][DBLP ] Multiple Classifier Systems, 2001, pp:259-268 [Conf ] Lorenzo Bruzzone , Roberto Cossu , Diego Fernández Prieto Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps. [Citation Graph (0, 0)][DBLP ] Multiple Classifier Systems, 2000, pp:290-299 [Conf ] Francesca Bovolo , Lorenzo Bruzzone A Context-Sensitive Technique Based on Support Vector Machines for Image Classification. [Citation Graph (0, 0)][DBLP ] PReMI, 2005, pp:260-265 [Conf ] Lorenzo Bruzzone , Mattia Marconcini A Novel T2 -SVM for Partially Supervised Classification. [Citation Graph (0, 0)][DBLP ] PReMI, 2005, pp:40-49 [Conf ] Mayank Tyagi , Ankit K. Mehra , Subhasis Chaudhuri , Lorenzo Bruzzone Unsupervised Classification of Remote Sensing Data Using Graph Cut-Based Initialization. [Citation Graph (0, 0)][DBLP ] PReMI, 2005, pp:206-211 [Conf ] Lorenzo Bruzzone , Roberto Cossu , Gianni Vernazza Combining parametric and non-parametric algorithms for a partially unsupervised classification of multitemporal remote-sensing images. [Citation Graph (0, 0)][DBLP ] Information Fusion, 2002, v:3, n:4, pp:289-297 [Journal ] G. Simone , Alfonso Farina , Francesco Carlo Morabito , Sebastiano B. Serpico , Lorenzo Bruzzone Image fusion techniques for remote sensing applications. [Citation Graph (0, 0)][DBLP ] Information Fusion, 2002, v:3, n:1, pp:3-15 [Journal ] Yakoub Bazi , Lorenzo Bruzzone , Farid Melgani Image thresholding based on the EM algorithm and the generalized Gaussian distribution. [Citation Graph (0, 0)][DBLP ] Pattern Recognition, 2007, v:40, n:2, pp:619-634 [Journal ] Lorenzo Bruzzone , Roberto Cossu , Gianni Vernazza Detection of land-cover transitions by combining multidate classifiers. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2004, v:25, n:13, pp:1491-1500 [Journal ] Lorenzo Bruzzone , Diego Fernández Prieto A partially unsupervised cascade classifier for the analysis of multitemporal remote-sensing images. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2002, v:23, n:9, pp:1063-1071 [Journal ] Lorenzo Bruzzone , Diego Fernández Prieto An incremental-learning neural network for the classification of remote-sensing images. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1999, v:20, n:11-13, pp:1241-1248 [Journal ] Lorenzo Bruzzone , Sebastiano B. Serpico Classification of imbalanced remote-sensing data by neural networks. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1997, v:18, n:11-13, pp:1323-1328 [Journal ] Mingmin Chi , Lorenzo Bruzzone An ensemble-driven k -NN approach to ill-posed classification problems. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2006, v:27, n:4, pp:301-307 [Journal ] Giorgio Giacinto , Fabio Roli , Lorenzo Bruzzone Combination of neural and statistical algorithms for supervised classification of remote-sensing image. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 2000, v:21, n:5, pp:385-397 [Journal ] Sebastiano B. Serpico , Lorenzo Bruzzone , Fabio Roli An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images. [Citation Graph (0, 0)][DBLP ] Pattern Recognition Letters, 1996, v:17, n:13, pp:1331-1341 [Journal ] Lorenzo Bruzzone , Diego Fernández Prieto An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Image Processing, 2002, v:11, n:4, pp:452-466 [Journal ] Andrea Baraldi , Lorenzo Bruzzone , Palma Blonda A multiscale expectation-maximization semisupervised classifier suitable for badly posed image classification. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Image Processing, 2006, v:15, n:8, pp:2208-2225 [Journal ] A Multiscale Change Detection Technique Robust to Registration Noise. [Citation Graph (, )][DBLP ] Search in 0.002secs, Finished in 0.302secs