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» Sparse Computations with PEI
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170
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CVPR
2012
IEEE
13 years 6 months ago
Submodular dictionary learning for sparse coding
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
Zhuolin Jiang, Guangxiao Zhang, Larry S. Davis
145
Voted
ACL
2012
13 years 6 months ago
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
William Yang Wang, Elijah Mayfield, Suresh Naidu, ...
135
Voted
PPOPP
2010
ACM
16 years 29 days ago
Scalable communication protocols for dynamic sparse data exchange
Many large-scale parallel programs follow a bulk synchronous parallel (BSP) structure with distinct computation and communication phases. Although the communication phase in such ...
Torsten Hoefler, Christian Siebert, Andrew Lumsdai...
149
Voted
UAI
2008
15 years 5 months ago
Modelling local and global phenomena with sparse Gaussian processes
Much recent work has concerned sparse approximations to speed up the Gaussian process regression from the unfavorable O(n3 ) scaling in computational time to O(nm2 ). Thus far, wo...
Jarno Vanhatalo, Aki Vehtari
125
Voted
ISCIS
2003
Springer
15 years 9 months ago
Minimizing Communication Cost in Fine-Grain Partitioning of Sparse Matrices
Abstract. We show a two-phase approach for minimizing various communication-cost metrics in fine-grain partitioning of sparse matrices for parallel processing. In the first phase...
Bora Uçar, Cevdet Aykanat