Pierre Gancarski
Pierre Gancarski
Adresse e-mail validée de unistra.fr
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A global averaging method for dynamic time warping, with applications to clustering
F Petitjean, A Ketterlin, P Gançarski
Pattern recognition 44 (3), 678-693, 2011
Satellite image time series analysis under time warping
F Petitjean, J Inglada, P Gançarski
IEEE transactions on geoscience and remote sensing 50 (8), 3081-3095, 2012
Ontology-based object recognition for remote sensing image interpretation
N Durand, S Derivaux, G Forestier, C Wemmert, P Gançarski, O Boussaid, ...
19th IEEE International Conference on Tools with Artificial Intelligence …, 2007
Knowledge-based region labeling for remote sensing image interpretation
G Forestier, A Puissant, C Wemmert, P Gançarski
Computers, Environment and Urban Systems 36 (5), 470-480, 2012
Extraction of complex patterns from multiresolution remote sensing images: A hierarchical top-down methodology
C Kurtz, N Passat, P Gancarski, A Puissant
Pattern Recognition 45 (2), 685-706, 2012
Spatio-temporal reasoning for the classification of satellite image time series
F Petitjean, C Kurtz, N Passat, P Gançarski
Pattern Recognition Letters 33 (13), 1805-1815, 2012
Collaborative clustering with background knowledge
G Forestier, P Gançarski, C Wemmert
Data & Knowledge Engineering 69 (2), 211-228, 2010
Summarizing a set of time series by averaging: From Steiner sequence to compact multiple alignment
F Petitjean, P Gançarski
Theoretical Computer Science 414 (1), 76-91, 2012
Collaborative clustering: Why, when, what and how
A Cornuéjols, C Wemmert, P Gançarski, Y Bennani
Information Fusion 39, 81-95, 2018
Hierarchical extraction of landslides from multiresolution remotely sensed optical images
C Kurtz, A Stumpf, JP Malet, P Gançarski, A Puissant, N Passat
ISPRS Journal of Photogrammetry and Remote Sensing 87, 122-136, 2014
An empirical study into annotator agreement, ground truth estimation, and algorithm evaluation
TA Lampert, A Stumpf, P Gançarski
IEEE Transactions on Image Processing 25 (6), 2557-2572, 2016
A collaborative approach to combine multiple learning methods
C Wemmert, P Gançarski, JJ Korczak
International Journal on Artificial Intelligence Tools 9 (01), 59-78, 2000
Multiresolution remote sensing image clustering
C Wemmert, A Puissant, G Forestier, P Gancarski
IEEE Geoscience and Remote Sensing Letters 6 (3), 533-537, 2009
Conceptual Clustering in Structured Databases: A Practical Approach.
A Ketterlin, P Gançarski, JJ Korczak
KDD, 180-185, 1995
Collaborative multi-step mono-level multi-strategy classification
P Gançarski, C Wemmert
Multimedia Tools and Applications 35 (1), 1-27, 2007
Unsupervised quantification of under-and over-segmentation for object-based remote sensing image analysis
A Troya-Galvis, P Gançarski, N Passat, L Berti-Equille
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
Analysing satellite image time series by means of pattern mining
F Petitjean, P Gançarski, F Masseglia, G Forestier
International Conference on Intelligent Data Engineering and Automated …, 2010
Multisource images analysis using collaborative clustering
G Forestier, C Wemmert, P Gançarski
EURASIP Journal on Advances in Signal Processing 2008, 1-11, 2008
A multi-view voting method to combine unsupervised classifications
C Wemmert, P Gançarski
2nd IASTED International Conference on Artificial Intelligence and …, 2002
Multi-resolution region-based clustering for urban analysis
C Kurtz, N Passat, P Gançarski, A Puissant
International Journal of Remote Sensing 31 (22), 5941-5973, 2010
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