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» Variations on Neighborhoods in CA
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ICCS
2007
Springer
13 years 11 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
13 years 10 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
14 years 6 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»
12 years 12 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»
13 years 1 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