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Description of shape information for 2-D and 3-D objects.

, , , , and . Signal Process. Image Commun., 16 (1-2): 103-122 (2000)

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Description of shape information for 2-D and 3-D objects., , , , and . Signal Process. Image Commun., 16 (1-2): 103-122 (2000)Dynamic adaptation of online ensembles for drifting data streams., , and . J. Intell. Inf. Syst., 50 (2): 291-313 (2018)Adjustment of Virtual Mannequins Through Anthropometric Measurements, Cluster Analysis, and Content-Based Retrieval of 3-D Body Scans., and . IEEE Trans. Instrumentation and Measurement, 56 (5): 1924-1929 (2007)Who are our clients: consumer segmentation through explorative data mining., , and . Int. J. Data Min. Model. Manag., 4 (3): 286-308 (2012)Transductive Relational Classification in the Co-training Paradigm., , , , , and . MLDM, volume 7376 of Lecture Notes in Computer Science, page 11-25. Springer, (2012)Explorative Data Mining for the Sizing of Population Groups., , and . KDIR, page 152-159. INSTICC Press, (2009)Reservoir of Diverse Adaptive Learners and Stacking Fast Hoeffding Drift Detection Methods for Evolving Data Streams., , and . CoRR, (2017)Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems., , and . KDIR, page 80-89. SciTePress, (2018)Physics-based measurements, reflective measurements and meta-measurements for nonrigid and deformable shapes with application to structural proteomics and macromolecular docking., , , and . CIVEMSA, page 112-117. IEEE, (2014)New Graph Distance Based on Stable Marriage Formulation for Deformable 3D Objects Recognition., , and . AICCSA, page 1-8. IEEE Computer Society, (2019)