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» Expectation-MiniMax Approach to Clustering Analysis
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IPSN
2010
Springer
15 years 6 months ago
Information processing for live photo mosaic with a group of wireless image sensors
Photo tourism [11] is a platform that allows users to transform unstructured online digital photos into a 3D experience. Nowadays, image sensors are being extensively used to allo...
Fulu Li, James Barabas, Ana L. Santos
DKE
2002
218views more  DKE 2002»
15 years 4 months ago
Computing iceberg concept lattices with T
We introduce the notion of iceberg concept lattices and show their use in knowledge discovery in databases. Iceberg lattices are a conceptual clustering method, which is well suit...
Gerd Stumme, Rafik Taouil, Yves Bastide, Nicolas P...
MASS
2010
157views Communications» more  MASS 2010»
15 years 2 months ago
Spatial extension of the Reality Mining Dataset
Data captured from a live cellular network with the real users during their common daily routine help to understand how the users move within the network. Unlike the simulations wi...
Michal Ficek, Lukas Kencl
EGPGV
2004
Springer
214views Visualization» more  EGPGV 2004»
15 years 9 months ago
Hierarchical Visualization and Compression of Large Volume Datasets Using GPU Clusters
We describe a system for the texture-based direct volume visualization of large data sets on a PC cluster equipped with GPUs. The data is partitioned into volume bricks in object ...
Magnus Strengert, Marcelo Magallón, Daniel ...
BIBM
2008
IEEE
170views Bioinformatics» more  BIBM 2008»
15 years 10 months ago
Protein Sequence Motif Super-Rule-Tree (SRT) Structure Constructed by Hybrid Hierarchical K-Means Clustering Algorithm
— Protein sequence motifs information is crucial to the analysis of biologically significant regions. The conserved regions have the potential to determine the role of the protei...
Bernard Chen, Jieyue He, Stephen Pellicer, Yi Pan