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» A general algorithm for data dependence analysis
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MA
2010
Springer
150views Communications» more  MA 2010»
14 years 10 months ago
Cokriging for spatial functional data
This work proposes to generalize the method of cokriging when data are spatially sampled curves. A spatial functional linear model is constructed including spatial dependencies be...
David Nerini, Pascal Monestiez, Claude Manté...
121
Voted
CANDC
2000
ACM
15 years 3 months ago
Sequence Complexity for Biological Sequence Analysis
A new statistical model for DNA considers a sequence to be a mixture of regions with little structure and regions that are approximate repeats of other subsequences, i.e. instance...
Lloyd Allison, Linda Stern, Timothy Edgoose, Trevo...
VISUALIZATION
2005
IEEE
15 years 8 months ago
Query-Driven Visualization of Large Data Sets
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...
JCNS
2010
104views more  JCNS 2010»
15 years 1 months ago
A new look at state-space models for neural data
State space methods have proven indispensable in neural data analysis. However, common methods for performing inference in state-space models with non-Gaussian observations rely o...
Liam Paninski, Yashar Ahmadian, Daniel Gil Ferreir...
SC
2009
ACM
15 years 10 months ago
Dynamic task scheduling for linear algebra algorithms on distributed-memory multicore systems
This paper presents a dynamic task scheduling approach to executing dense linear algebra algorithms on multicore systems (either shared-memory or distributed-memory). We use a tas...
Fengguang Song, Asim YarKhan, Jack Dongarra