Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Thomas Käster"'
Autor:
Christian Thiemann, Britta Klitzke, Philipp Martinetz, Philipp Grüning, Thomas Käster, Erhardt Barth, Jan Kramer, Thomas Martinetz
Publikováno v:
Journal of Laboratory Medicine. 46:331-336
Objectives The reliable evaluation of immunofixation electrophoresis is part of the laboratory diagnosis of multiple myeloma. Until now, this has been done routinely by the subjective assessment of a qualified laboratory staff member. The possibility
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7d7a7f5fb77604922772823cf5df274
https://doi.org/10.1515/labmed-2022-0078
https://doi.org/10.1515/labmed-2022-0078
Publikováno v:
IJCNN
Recognizing objects in natural images is an intricate problem involving multiple conflicting objectives. Deep convolutional neural networks, trained on large datasets, achieve convincing results and are currently the state-of-the-art approach for thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2b809e2e87d81a2ac9ee02afed89f33
Publikováno v:
SPIE Proceedings.
The imaging properties of small cameras in mobile devices exclude restricted depth-of-field and range-dependent blur that may provide a sensation of depth. Algorithmic solutions to this problem usually fail because high- quality, dense range maps are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::786c53a2b896999107cfc2be22996b51
https://doi.org/10.1117/12.2002330
https://doi.org/10.1117/12.2002330
Fast, Illumination Insensitive Face Detection Based on Multilinear Techniques and Curvature Features
Autor:
Christian Bauckhage, Thomas Käster
Publikováno v:
ICPR (1)
This paper brings together two recent developments in image analysis. We consider a new mathematical framework that provides illumination invariant descriptors for face detection. Towards fast learning and processing, we understand images and the cor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef1f12dba3d9f2e2b3d1aae27b94cec3
https://pub.uni-bielefeld.de/record/2618197
https://pub.uni-bielefeld.de/record/2618197
Autor:
Thomas Käster, Christian Bauckhage
Publikováno v:
ICPR (3)
This paper presents an empirical investigation of the merits of tensor-based discriminant classification for visual object detection. First, we briefly discuss 2D separable discriminant analysis for grey value image analysis. Then, we contrast this t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b7e6dbf12e1aca2eb5ebcda75364cec
https://doi.org/10.1109/icpr.2006.321
https://doi.org/10.1109/icpr.2006.321
Autor:
Sebastian Wrede, Marc Hanheide, Gerhard Sagerer, Michael Pfeiffer, Thomas Käster, Christian Bauckhage
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 14, Pp 2375-2390 (2005)
EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 14, p 302161 (2005)
EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 14, p 302161 (2005)
The emerging cognitive vision paradigm deals with vision systems that apply machine learning and automatic reasoning in order to learn from what they perceive. Cognitive vision systems can rate the relevance and consistency of newly acquired knowledg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0760c01ef6471ea2f4c8105463b4ddf6
https://pub.uni-bielefeld.de/record/1601060
https://pub.uni-bielefeld.de/record/1601060
Publikováno v:
IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).
Due to the size of todays professional image databases, the standard approach to content-based image retrieval is to interactively navigate through the content. However, most people whose job necessitates working with such databases do not have a tec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a2a008953f30fe98100bcdb786d195a
https://doi.org/10.1109/iecon.2003.1280347
https://doi.org/10.1109/iecon.2003.1280347
Publikováno v:
ICMI
Scopus-Elsevier
Scopus-Elsevier
Given the size of todays professional image databases, the stan-dard approach to object- or theme-related image retrieval is to in-teractively navigate through the content. But as most users of such databases are designers or artists who do not have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::839d849ef6cb85871c38193854a6180f
https://doi.org/10.1145/958432.958469
https://doi.org/10.1145/958432.958469
Publikováno v:
ICIP (3)
We present a content-based image retrieval system, INDI (techniques for Intelligent Navigation in Digital Image databases), that combines the use of low-level pattern recognition techniques, machine learning and an intuitive human-computer interface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::686ec758306bb89ac5fd82b2caa3e323
https://doi.org/10.1109/icip.2002.1039123
https://doi.org/10.1109/icip.2002.1039123
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540408611
DAGM-Symposium
DAGM-Symposium
Applying image retrieval techniques to large image databases requires the restriction of search space to provide adequate response time. This restriction can be done by means of clustering techniques to partition the image data set into subspaces of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8faf969e440eecfde0f971fc0a75cc5
https://doi.org/10.1007/978-3-540-45243-0_30
https://doi.org/10.1007/978-3-540-45243-0_30