]> 2026-04-04T11:37:46+02:00 Data Mining In a Warehouse Inventory 0 en Master A study of feature selection and distance measures for clustering big number of categories (>1000) and novelty detection in warehouse environment. Programming skills, Machine Learning, Computer Vision, Data Mining. Zeynep Akata, Florent Perronnin, Zaid Harchaoui, Cordelia Schmid. Good Practice in Large-Scale Learning for Image Classi cation. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2014, 36 (3), pp.507-520.<10.1109/TPAMI.2013.146>.<hal-00835810> Florent Perronnin, Zeynep Akata, Zaid Harchaoui, Cordelia Schmid. Towards Good Practice in Large-Scale Learning for Image Classification. CVPR 2012 - IEEE Computer Vision and Pattern Recognition, Jun 2012, Providence (RI), United States. IEEE, pp.3482-3489, 2012,<10.1109/CVPR.2012.6248090>.<hal-00690014> Raphael Puget, Nicolas Baskiotis, Patrick Gallinari. Sequential Dynamic Classi cation for Large Scale Multi-class Problems. Extreme Classi cation Workshop at ICML, Jul 2015, Lille,France. 2015.<hal-01207428> Open October 2017 to June 2018, with possible extension to September 2018 Data Mining In a Warehouse Inventory 2017-09-22T14:24:11Z 2458019.1001273 Data Mining In a Warehouse Inventory 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Data Mining In a Warehouse Inventory# ERRd9c33d5ac8a89308063e13c4b212fa7c