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IS
2006
15 years 6 months ago
A methodology for clustering XML documents by structure
The processing and management of XML data are popular research issues. However, operations based on the structure of XML data have not received strong attention. These operations ...
Theodore Dalamagas, Tao Cheng, Klaas-Jan Winkel, T...
TNN
1998
254views more  TNN 1998»
15 years 6 months ago
Comparative analysis of fuzzy ART and ART-2A network clustering performance
—Adaptive resonance theory (ART) describes a family of self-organizing neural networks, capable of clustering arbitrary sequences of input patterns into stable recognition codes....
T. Frank, Karl-Friedrich Kraiss, Torsten Kuhlen
IMCSIT
2010
15 years 4 months ago
BeesyBees - Efficient and Reliable Execution of Service-based Workflow Applications for BeesyCluster using Distributed Agents
Abstract--The paper presents an architecture and implementation that allows distributed execution of workflow applications in BeesyCluster using agents. BeesyCluster is a middlewar...
Pawel Czarnul, Mariusz R. Matuszek, Michal W&oacut...
CIBCB
2009
IEEE
15 years 4 months ago
Shape modeling and clustering of white matter fiber tracts using fourier descriptors
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques...
Xuwei Liang, Qi Zhuang, Ning Cao, Jun Zhang
ICCV
2009
IEEE
15 years 4 months ago
The Normalized Subspace Inclusion: Robust clustering of motion subspaces
Perceiving dynamic scenes of rigid bodies, through affine projections of moving 3D point clouds, boils down to clustering the rigid motion subspaces supported by the points' ...
Nuno Pinho da Silva, João Paulo Costeira