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» Variations on Neighborhoods in CA
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ICCS
2007
Springer
15 years 3 months ago
A New Method to Model Neighborhood Interaction in Cellular Automata-Based Urban Geosimulation
Local spatial interaction (i.e. neighborhood interaction) between land-use types is an important component in Cellular Automata -based urban geosimulation models. Herein a new meth...
Yaolong Zhao, Yuji Murayama
IJCNLP
2004
Springer
15 years 2 months ago
A Collaborative Ability Measurement for Co-training
This paper explores collaborative ability of co-training algorithm. We propose a new measurement (CA) for representing the collaborative ability of co-training classifiers based o...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...
IPMI
2007
Springer
15 years 10 months ago
Localized Components Analysis
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape c...
Dan A. Alcantara, Owen T. Carmichael, Eric Delson,...
TIP
2010
205views more  TIP 2010»
14 years 4 months ago
Variational Region-Based Segmentation Using Multiple Texture Statistics
This paper addresses variational supervised texture segmentation. The main contributions are twofold. First, the proposed method circumvents a major problem related to classical t...
Imen Karoui, Ronan Fablet, Jean-Marc Boucher, Jean...
CORR
2010
Springer
79views Education» more  CORR 2010»
14 years 6 months ago
Probabilistic cellular automata, invariant measures, and perfect sampling
In a probabilistic cellular automaton (PCA), the cells are updated synchronously and independently, according to a distribution depending on a finite neighborhood. A PCA can be vi...
Ana Busic, Jean Mairesse, Irene Marcovici