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IBPRIA
2003
Springer
15 years 3 months ago
Does Independent Component Analysis Play a~Role in Unmixing Hyperspectral Data?
—Independent component analysis (ICA) has recently been proposed as a tool to unmix hyperspectral data. ICA is founded on two assumptions: 1) the observed spectrum vector is a li...
José M. P. Nascimento, José M. B. Di...
DAC
2008
ACM
15 years 11 months ago
Broadcast electrode-addressing for pin-constrained multi-functional digital microfluidic biochips
Recent advances in digital microfluidics have enabled lab-on-a-chip devices for DNA sequencing, immunoassays, clinical chemistry, and protein crystallization. Basic operations suc...
Tao Xu, Krishnendu Chakrabarty
BMCBI
2006
129views more  BMCBI 2006»
14 years 10 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
SIGMOD
2008
ACM
107views Database» more  SIGMOD 2008»
15 years 10 months ago
Outlier-robust clustering using independent components
How can we efficiently find a clustering, i.e. a concise description of the cluster structure, of a given data set which contains an unknown number of clusters of different shape ...
Christian Böhm, Christos Faloutsos, Claudia P...
IPPS
2003
IEEE
15 years 3 months ago
Autonomous Protocols for Bandwidth-Centric Scheduling of Independent-Task Applications
In this paper we investigate protocols for scheduling applications that consist of large numbers of identical, independent tasks on large-scale computing platforms. By imposing a ...
Barbara Kreaseck, Larry Carter, Henri Casanova, Je...