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DAGSTUHL
2007
14 years 11 months ago
Programming self developing blob machines for spatial computing.
: This is a position paper introducing blob computing: A Blob is a generic primitive used to structure a uniform computing substrate into an easier-to-program parallel virtual mach...
Frédéric Gruau, Christine Eisenbeis
ACISICIS
2007
IEEE
15 years 4 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
ICTAI
2000
IEEE
15 years 2 months ago
Consistency checking for Euclidean spatial constraints: a dimension graph approach
In this paper, we address the problem of consistency checking for Euclidean spatial constraints. A dimension graph representation is proposed to maintain the Euclidean spatial con...
Xuan Liu, Shashi Shekhar, Sanjay Chawla
CIKM
1994
Springer
15 years 2 months ago
Hashing by Proximity to Process Duplicates in Spatial Databases
In a spatial database, an object may extend arbitrarily in space. As a result, many spatial data structures e.g., the quadtree, the cell tree, the R+-tree represent an object by p...
Walid G. Aref, Hanan Samet
ICPR
2010
IEEE
14 years 10 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...