A model based two-stage classifier for airborne particles analyzed with computer controlled scanning electron microscopy

Autor: Christoph Neururer, René Locher, Juanita Rausch, Thoralf Mildenberger, Andreas Ruckstuhl, Mario Federico Meier, Bernard Grobéty, Thomas Zünd

Computer controlled scanning electron microscopy (CCSEM) is a widely-used method for single airborne particle analysis. It produces extensive chemical and morphological data sets, whose processing and interpretation can be very time consuming. We pro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff3fc4ffc1c2efb8e33148a92630bcbd
https://hdl.handle.net/11475/7549

Self-supervised adaptation for on-line script text recognition

Autor: Loïc Oudot, Lionel Prevost, Maurice Milgram

Publikováno v: Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 5, Iss 2 (2005)
ELCVIA: electronic letters on computer vision and image analysis; 2005: Vol.: 5 Núm.: 2 Special Issue on Document Analysis; p. 87-97

We have recently developed in our lab a text recognizer for on-line texts written on a touch-terminal. We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ce3b2784b9917c7b1dcf8cd48cba891
https://ddd.uab.cat/record/24340

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