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» Universal Sparse Modeling
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108
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ICML
2008
IEEE
16 years 1 months ago
Sparse multiscale gaussian process regression
Most existing sparse Gaussian process (g.p.) models seek computational advantages by basing their computations on a set of m basis functions that are the covariance function of th...
Bernhard Schölkopf, Christian Walder, Kwang I...
104
Voted
CVPR
2010
IEEE
15 years 9 months ago
Specular Surface Reconstruction from Sparse Reflection Correspondences
We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs). Assuming finite object motion with a fix...
Aswin Sankaranarayanan, Ashok Veeraraghavan, Oncel...
127
Voted
EWSN
2010
Springer
15 years 7 months ago
Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks
Due to non-homogeneous spread of sunlight, sensing nodes typically have non-uniform energy profiles in rechargeable Wireless Sensor Networks (WSNs). An energy-aware work load dist...
Rajib Kumar Rana, Wen Hu, Chun Tung Chou
124
Voted
LATIN
2010
Springer
15 years 7 months ago
The I/O Complexity of Sparse Matrix Dense Matrix Multiplication
We consider the multiplication of a sparse N × N matrix A with a dense N × N matrix B in the I/O model. We determine the worst-case non-uniform complexity of this task up to a c...
Gero Greiner, Riko Jacob
IPPS
2000
IEEE
15 years 5 months ago
Ordering Unstructured Meshes for Sparse Matrix Computations on Leading Parallel Systems
Abstract. Computer simulations of realistic applications usually require solving a set of non-linear partial di erential equations PDEs over a nite region. The process of obtaini...
Leonid Oliker, Xiaoye S. Li, Gerd Heber, Rupak Bis...