Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Peter Tischer"'
Publikováno v:
Monash University
ICDM
ICDM
Support Vector Machine (SVM) parameter selection has previously been performed by minimizing the ratio of the radius of the Minimal Enclosing Ball (MEB) enclosing the training data compared to the margin of the SVM. By considering the geometric prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4079ddeb6837b209d8942600b3e1485b
Publikováno v:
VCIP
Images typically have many levels of detail and the suitability of a segmentation depends on application requirements. Thus, it is imperative that the user/application be given the option to select the ‘optimal’ segmentation that captures the des
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8aaf09fe0d89433293b8687d90a938c8
https://doi.org/10.1109/vcip.2017.8305030
https://doi.org/10.1109/vcip.2017.8305030
Autor:
Claudia Polzin-Haumann, Wilfried Schmidt, Albert Raasch, Christoph Vatter, Hans-Jürgen Lüsebrink, Peter Tischer
Publikováno v:
»Alles Frankreich oder was?«-Die saarländische Frankreichstrategie im europäischen Kontext / »La France à toutes les sauces?«-La 'Stratégie France' de la Sarre dans le contexte européen: Interdisziplinäre Zugänge und kritische Perspektiven / Approches interdisciplinaires et perspectives critiques
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8477514bef95e0b1b7b5289ed7ab06ad
https://doi.org/10.14361/9783839437551-009
https://doi.org/10.14361/9783839437551-009
Publikováno v:
DICTA
This paper presents a hierarchical image segmentation algorithm based on the principle of mutual nearest neighbours. Image segmentation remains a great challenge in the computer vision community. To solve this problem, various algorithms have been pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::271fb803912783a7d3025751f59cc6fc
https://doi.org/10.1109/dicta.2016.7797047
https://doi.org/10.1109/dicta.2016.7797047
Publikováno v:
IECON 2011 - 37th Annual Conference of the IEEE Industrial Electronics Society.
We approach the problem of applying nearest point algorithms to train weighted SVMs by introducing the concept of Weighted Reduced Convex Hulls (WRCHs). We describe some of the theoretical properties of WRCHs and show how their vertices may be found.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1aef86cdc89a287c996ab544fe2535b
https://doi.org/10.1109/iecon.2011.6119691
https://doi.org/10.1109/iecon.2011.6119691
Publikováno v:
The Computer Journal. 36:68-77
The two-dimensional method of Langdon and Rissanen for compression of black and white images is extended to handle the exact lossless compression of grey-scale images. Neighbouring pixel values are used to define contexts and probabilities associated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d0ddafd1b8a12e3b61e000ba1aaa8df
https://doi.org/10.1093/comjnl/36.1.68
https://doi.org/10.1093/comjnl/36.1.68
Autor:
Peter Tischer, Joselito J. Chua
Publikováno v:
DICTA
This paper investigates the normalised information distance (NID) proposed by Bennet et~al~(1998) as an approach to measure the visual similarity (or dissimilarity) of images. Earlier studies suggest that compression-based approximations to the NID c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::405795b6bdac3ac8b2760ba5204bbaa3
https://doi.org/10.1109/dicta.2010.10
https://doi.org/10.1109/dicta.2010.10
Publikováno v:
Advances in Data Management ISBN: 9783642021893
Classifier performance evaluation, which typically yields a vast number of results, may be approached as a problem of analyzing high dimensional data. Conducting an exploratory analysis of visual representations of this evaluation data enables us to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::692fad4201e1c69886b0dbd73da0abda
https://doi.org/10.1007/978-3-642-02190-9_6
https://doi.org/10.1007/978-3-642-02190-9_6
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783540874805
ECML/PKDD (2)
ECML/PKDD (2)
Classifier performance evaluation typically gives rise to a multitude of results that are difficult to interpret. On the one hand, a variety of different performance metrics can be applied, each adding a little bit more information about the classifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ddc568429cf7a9bb92b5f8684f36e248
https://doi.org/10.1007/978-3-540-87481-2_43
https://doi.org/10.1007/978-3-540-87481-2_43