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» On the Complexity of Train Assignment Problems
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IPPS
2010
IEEE
15 years 1 months ago
Using focused regression for accurate time-constrained scaling of scientific applications
Many large-scale clusters now have hundreds of thousands of processors, and processor counts will be over one million within a few years. Computational scientists must scale their ...
Bradley J. Barnes, Jeonifer Garren, David K. Lowen...
ICCV
2009
IEEE
15 years 1 months ago
Fast realistic multi-action recognition using mined dense spatio-temporal features
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
Andrew Gilbert, John Illingworth, Richard Bowden
227
Voted
PAMI
2010
218views more  PAMI 2010»
14 years 10 months ago
A Coupled Duration-Focused Architecture for Real-Time Music-to-Score Alignment
Abstract--The capacity for realtime synchronization and coordination is a common ability among trained musicians performing a music score that presents an interesting challenge for...
Arshia Cont
TNN
2010
176views Management» more  TNN 2010»
14 years 10 months ago
Sparse approximation through boosting for learning large scale kernel machines
Abstract--Recently, sparse approximation has become a preferred method for learning large scale kernel machines. This technique attempts to represent the solution with only a subse...
Ping Sun, Xin Yao
ICASSP
2011
IEEE
14 years 7 months ago
On the identification of parametric underspread linear systems
Identification of time-varying linear systems, which introduce both time-shifts (delays) and frequency-shifts (Doppler-shifts), is a central task in many engineering applications...
Waheed U. Bajwa, Kfir Gedalyahu, Yonina C. Eldar