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» Spatial Computing: The TOTA Approach
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VLDB
1997
ACM
134views Database» more  VLDB 1997»
15 years 7 months ago
Spatial Joins Using R-trees: Breadth-First Traversal with Global Optimizations
R-tree based spatial join is useful because of both its superior performance and the wide spread implementation of R-trees. We present a new R-tree join method called BFRJ (Breadt...
Yun-Wu Huang, Ning Jing, Elke A. Rundensteiner
PSIVT
2007
Springer
170views Multimedia» more  PSIVT 2007»
15 years 9 months ago
Markov Random Fields and Spatial Information to Improve Automatic Image Annotation
Content-based image retrieval (CBIR) is currently limited because of the lack of representational power of the low-level image features, which fail to properly represent the actual...
Carlos Hernández-Gracidas, Luis Enrique Suc...
GIS
1995
ACM
15 years 7 months ago
Collaborative Spatial Decision Making with Qualitative Constraints
: Usually spatial planning problems involve a large number of decision makers with different backgrounds and interests. The process of Collaborative Spatial Decision Making (CSDM)...
Nikos I. Karacapilidis, Dimitris Papadias, Max J. ...
GRAPHICSINTERFACE
2000
15 years 4 months ago
Using a 3D Puzzle as a Metaphor for Learning Spatial Relations
We introduce a new metaphor for learning spatial relations--the 3D puzzle. With this metaphor users learn spatial relations by assembling a geometric model themselves. For this pu...
Bernhard Preim, Felix Ritter, Oliver Deussen, Thom...
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BMCBI
2004
208views more  BMCBI 2004»
15 years 3 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein