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ICASSP
2010
IEEE
15 years 1 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
ISBI
2011
IEEE
14 years 10 months ago
3D elastic registration improves HARDI-derived fiber alignment and automated tract clustering
High angular resolution diffusion imaging (HARDI) allows population studies of fiber integrity and connectivity. Tractography can extract individual fibers. For group studies, fib...
Yan Jin, Yonggang Shi, Neda Jahanshad, Iman Aganj,...
CEC
2009
IEEE
16 years 1 months ago
A clustering particle swarm optimizer for dynamic optimization
Abstract—In the real world, many applications are nonstationary optimization problems. This requires that optimization algorithms need to not only find the global optimal soluti...
Changhe Li, Shengxiang Yang
PVM
2004
Springer
15 years 12 months ago
Heterogeneous Parallel Computing Across Multidomain Clusters
We propose lightweight middleware solutions that facilitate and simplify the execution of MPI programs across multidomain clusters. The system described in this paper leverages H2O...
Peter Hwang, Dawid Kurzyniec, Vaidy S. Sunderam
SAC
2010
ACM
15 years 12 months ago
Of mice and terms: clustering algorithms on ambiguous terms in folksonomies
Developed using the principles of the Model-View-Controller architectural pattern, FolksEngine is a parametric search engine for folksonomies that allows us to test arbitrary sear...
Nicola Raffaele Di Matteo, Silvio Peroni, Fabio Ta...