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» Using Clustering Methods for Discovering Event Structures
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CSCW
2012
ACM
13 years 11 months ago
Blogs as a collective war diary
Disaster-related research in human-centered computing has typically focused on the shorter-term, emergency period of a disaster event, whereas effects of some crises are longterm,...
Gloria Mark, Mossaab Bagdouri, Leysia Palen, James...
VCIP
2003
170views Communications» more  VCIP 2003»
15 years 4 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
ALMOB
2006
135views more  ALMOB 2006»
15 years 3 months ago
P-value based visualization of codon usage data
Two important and not yet solved problems in bacterial genome research are the identification of horizontally transferred genes and the prediction of gene expression levels. Both ...
Peter Meinicke, Thomas Brodag, Wolfgang Florian Fr...
ICCV
2009
IEEE
15 years 29 days ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
BMCBI
2010
171views more  BMCBI 2010»
15 years 3 months ago
PyMix - The Python mixture package - a tool for clustering of heterogeneous biological data
Background: Cluster analysis is an important technique for the exploratory analysis of biological data. Such data is often high-dimensional, inherently noisy and contains outliers...
Benjamin Georgi, Ivan Gesteira Costa, Alexander Sc...