
handle: 20.500.11850/8237
International Journal of Computer Vision, 77 (1-3)
ISSN:0920-5691
ISSN:1573-1405
Markov random fields; Nonparametric Bayesian methods; Dirichlet process mixtures; Image segmentation; Clustering; Spatial statistics; Markov chain Monte Carlo, Image segmentation, Classification and discrimination; cluster analysis (statistical aspects), Spatial statistics, Random fields; image analysis, Computing methodologies for image processing, Dirichlet process mixtures, Clustering, spatial statistics, Markov chain Monte Carlo, Markov random fields, Image analysis in multivariate analysis, Nonparametric Bayesian methods, nonparametric Bayesian methods, image segmentation, Directional data; spatial statistics, clustering
Markov random fields; Nonparametric Bayesian methods; Dirichlet process mixtures; Image segmentation; Clustering; Spatial statistics; Markov chain Monte Carlo, Image segmentation, Classification and discrimination; cluster analysis (statistical aspects), Spatial statistics, Random fields; image analysis, Computing methodologies for image processing, Dirichlet process mixtures, Clustering, spatial statistics, Markov chain Monte Carlo, Markov random fields, Image analysis in multivariate analysis, Nonparametric Bayesian methods, nonparametric Bayesian methods, image segmentation, Directional data; spatial statistics, clustering
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 78 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
