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» Approximate Data Structures with Applications
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IJON
2008
114views more  IJON 2008»
15 years 6 months ago
A robust model for spatiotemporal dependencies
Real-world data sets such as recordings from functional magnetic resonance imaging often possess both spatial and temporal structure. Here, we propose an algorithm including such ...
Fabian J. Theis, Peter Gruber, Ingo R. Keck, Elmar...
VISUALIZATION
1999
IEEE
15 years 11 months ago
Construction of Vector Field Hierarchies
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
Bjørn Heckel, Gunther H. Weber, Bernd Haman...
KDD
2007
ACM
211views Data Mining» more  KDD 2007»
16 years 7 months ago
Enhanced max margin learning on multimodal data mining in a multimedia database
The problem of multimodal data mining in a multimedia database can be addressed as a structured prediction problem where we learn the mapping from an input to the structured and i...
Zhen Guo, Zhongfei Zhang, Eric P. Xing, Christos F...
DATESO
2009
158views Database» more  DATESO 2009»
15 years 4 months ago
Benchmarking Coding Algorithms for the R-tree Compression
Multi-dimensional data structures have been widely applied in many data management fields. Spatial data indexing is their natural application, however there are many applications i...
Jirí Walder, Michal Krátký, R...
SIGSOFT
2005
ACM
16 years 7 months ago
Visual tool for generative programming
A way of combining object-oriented and structural paradigms of software composition is demonstrated in a tool for generative programming. Metaclasses are introduced that are compon...
Pavel Grigorenko, Ando Saabas, Enn Tyugu