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» The Structure of Sparse Resultant Matrices
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CORR
2012
Springer
272views Education» more  CORR 2012»
12 years 4 months ago
Fast and Exact Top-k Search for Random Walk with Restart
Graphs are fundamental data structures and have been employed for centuries to model real-world systems and phenomena. Random walk with restart (RWR) provides a good proximity sco...
Yasuhiro Fujiwara, Makoto Nakatsuji, Makoto Onizuk...
CORR
2011
Springer
202views Education» more  CORR 2011»
13 years 3 months ago
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
We analyze a class of estimators based on a convex relaxation for solving highdimensional matrix decomposition problems. The observations are the noisy realizations of the sum of ...
Alekh Agarwal, Sahand Negahban, Martin J. Wainwrig...
IPMI
2005
Springer
14 years 9 months ago
Extrapolation of Sparse Tensor Fields: Application to the Modeling of Brain Variability
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
Pierre Fillard, Vincent Arsigny, Xavier Pennec, Pa...
TREC
2000
13 years 10 months ago
Information Space Based on HTML Structure
The main goal for the Information Space system for TREC9 was early precision. To facilitate this, an emphasis was placed on seeking matches from only the TITLE, H1, H2 and H3 tags...
Gregory B. Newby
SC
2003
ACM
14 years 1 months ago
Parallel Multilevel Sparse Approximate Inverse Preconditioners in Large Sparse Matrix Computations
We investigate the use of the multistep successive preconditioning strategies (MSP) to construct a class of parallel multilevel sparse approximate inverse (SAI) preconditioners. W...
Kai Wang, Jun Zhang, Chi Shen