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» HPF-2 Support for Dynamic Sparse Computations
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LCPC
1998
Springer
13 years 9 months ago
HPF-2 Support for Dynamic Sparse Computations
There is a class of sparse matrix computations, such as direct solvers of systems of linear equations, that change the fill-in (nonzero entries) of the coefficient matrix, and invo...
Rafael Asenjo, Oscar G. Plata, Juan Touriño...
BMCBI
2011
12 years 8 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
CVPR
2011
IEEE
12 years 8 months ago
Robust Tracking Using Local Sparse Appearance Model and K-Selection
Online learned tracking is widely used for it’s adaptive ability to handle appearance changes. However, it introduces potential drifting problems due to the accumulation of erro...
Baiyang Liu, junzhou Huang, Casimir Kulikowski, Li...
IPPS
1999
IEEE
13 years 9 months ago
An Object-Oriented Environment for Sparse Parallel Computation on Adaptive Grids
Many numerical solutions of large scale simulation models require finer discretizations in some regions of the computational grid. When this region is not known in advance, adapti...
Salvatore Filippone, Michele Colajanni, Dario Pasc...
TIP
2010
141views more  TIP 2010»
12 years 11 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
Amit Banerjee, Philippe Burlina