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ICML
2010
IEEE
13 years 8 months ago
Local Minima Embedding
Dimensionality reduction is a commonly used step in many algorithms for visualization, classification, clustering and modeling. Most dimensionality reduction algorithms find a low...
Minyoung Kim, Fernando De la Torre
IPPS
2010
IEEE
13 years 5 months ago
Parallelization of tau-leap coarse-grained Monte Carlo simulations on GPUs
The Coarse-Grained Monte Carlo (CGMC) method is a multi-scale stochastic mathematical and simulation framework for spatially distributed systems. CGMC simulations are important too...
Lifan Xu, Michela Taufer, Stuart Collins, Dionisio...
MICCAI
2009
Springer
14 years 8 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
EUROPAR
2009
Springer
14 years 2 months ago
A Multilevel Parallelization Framework for High-Order Stencil Computations
Stencil based computation on structured grids is a common kernel to broad scientific applications. The order of stencils increases with the required precision, and it is a challeng...
Hikmet Dursun, Ken-ichi Nomura, Liu Peng, Richard ...
ACL
2006
13 years 9 months ago
Extractive Summarization using Inter- and Intra- Event Relevance
Event-based summarization attempts to select and organize the sentences in a summary with respect to the events or the sub-events that the sentences describe. Each event has its o...
Wenjie Li, Mingli Wu, Qin Lu, Wei Xu, Chunfa Yuan