8 search results - page 1 / 2 » Spatial contextual classification and prediction models for ... |
TMM
2002
13 years 4 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...
ADMA
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. In order to exploit the dependencies in relational data to improve predictions, relational classification models often need to make simultaneous statistical judgments abo...
GIS
1992
ACM
13 years 9 months ago
1992
ACM
Machine learning techniques such as tree induction have become accepted tools for developing generalisations of large data sets, typically for use with production rule systems in p...
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Spatial classification is the task of learning models to predict class labels based on the features of entities as well as the spatial relationships to other entities and their fe...
WWW
2009
ACM
14 years 5 months ago
2009
ACM
We investigate how to organize a large collection of geotagged photos, working with a dataset of about 35 million images collected from Flickr. Our approach combines content analy...