Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Christophe Irniger"'
Publikováno v:
Pattern Recognition. 39:573-586
Algorithms for the analysis of graph sequences are proposed in this paper. In particular, we study the problem of recovering missing information and predicting the occurrence of nodes and edges in time series of graphs. Two different recovery schemes
Publikováno v:
Pattern Recognition Letters. 24:1081-1087
In this paper, a methodology for the generation of benchmarks in pattern recognition is described. The patterns are represented by means of an attributed plex language, which are based on plex grammars augmented by attributes. It is shown that the ge
Publikováno v:
Applied Graph Theory in Computer Vision and Pattern Recognition ISBN: 9783540680192
Applied Graph Theory in Computer Vision and Pattern Recognition
Applied Graph Theory in Computer Vision and Pattern Recognition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0952bde0749c3f15db24918d1a6cc48e
https://doi.org/10.1007/978-3-540-68020-8_9
https://doi.org/10.1007/978-3-540-68020-8_9
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2006, Iss 1, p 035909 (2006)
Jiang, Xiaoyi; Marti, Cyril; Irniger, Christophe; Bunke, Horst (2006). Distance measures for image segmentation evaluation. EURASIP journal on applied signal processing, 2006(1), pp. 1-11. Akron, Ohio: Hindawi Publ. 10.1155/ASP/2006/35909
Jiang, Xiaoyi; Marti, Cyril; Irniger, Christophe; Bunke, Horst (2006). Distance measures for image segmentation evaluation. EURASIP journal on applied signal processing, 2006(1), pp. 1-11. Akron, Ohio: Hindawi Publ. 10.1155/ASP/2006/35909
The task considered in this paper is performance evaluation of region segmentation algorithms in the ground-truth-based paradigm. Given a machine segmentation and a ground-truth segmentation, performance measures are needed. We propose to consider th
Publikováno v:
Machine Learning and Data Mining in Pattern Recognition ISBN: 9783540269236
MLDM
MLDM
This paper is concerned with time series of graphs and proposes a novel scheme that is able to predict the presence or absence of nodes in a graph. The proposed scheme is based on decision trees that are induced from a training set of sample graphs.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594d00e916c1351b4404e62250c03951
https://doi.org/10.1007/11510888_36
https://doi.org/10.1007/11510888_36
Autor:
Christophe Irniger, Horst Bunke
Publikováno v:
Graph-Based Representations in Pattern Recognition ISBN: 9783540252702
GbRPR
GbRPR
An important topic in pattern recognition is retrieval of candidate patterns from a database according to a given sample input pattern. Using graphs, the database retrieval problem is turned into a graph matching problem. In this paper we propose a m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa9f16cfdf6004db5d8e61ebf32d8f5
https://doi.org/10.1007/978-3-540-31988-7_29
https://doi.org/10.1007/978-3-540-31988-7_29
Publikováno v:
Image Analysis and Processing – ICIAP 2005 ISBN: 9783540288695
ICIAP
ICIAP
Structural pattern representations, especially graphs, have advantages over feature vectors. However, they also suffer from a number of disadvantages, for example, their high computational complexity. Moreover, we observe that in the field of statist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01bfe31a85d47b0a0555ce0220f9372d
https://doi.org/10.1007/11553595_1
https://doi.org/10.1007/11553595_1
Publikováno v:
Image Analysis and Processing – ICIAP 2005 ISBN: 9783540288695
ICIAP
ICIAP
The task considered in this paper is performance evaluation of region segmentation algorithms in the ground truth (GT) based paradigm. Given a machine segmentation and a GT reference, performance measures are needed. We propose to consider the image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54cbe881d9d9ee7f794f073a9a5e5349
https://doi.org/10.1007/11553595_42
https://doi.org/10.1007/11553595_42
Autor:
Horst Bunke, Christophe Irniger
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540225706
SSPR/SPR
SSPR/SPR
In structural pattern recognition it is often required to match an unknown sample against a database of candidate patterns in order to find the most similar prototype. If the patterns are represented using graphs, the sample’s graph is matched agai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae2bfbb5f75b3e23b429f4343f7edfed
https://doi.org/10.1007/978-3-540-27868-9_6
https://doi.org/10.1007/978-3-540-27868-9_6
Theoretical Analysis and Experimental Comparison of Graph Matching Algorithms for Database Filtering
Autor:
Horst Bunke, Christophe Irniger
Publikováno v:
Graph Based Representations in Pattern Recognition ISBN: 9783540404521
GbRPR
GbRPR
In structural pattern recognition, an unknown pattern is often transformed into a graph that is matched against a database in order to find the most similar prototype in the database. Graph matching is a powerful yet computationally expensive procedu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d13fbb9401da11e536e7f83fec879e5
https://doi.org/10.1007/3-540-45028-9_11
https://doi.org/10.1007/3-540-45028-9_11