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» On small blocking sets and their linearity
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MCS
2011
Springer
15 years 28 days ago
Solving macroeconomic models with "off-the-shelf" software: An example of potential pitfalls
: When working with large-scale models or numerous small models, there can be a temptation to rely on default settings in proprietary software to derive solutions to the model. In ...
Ric D. Herbert, Peter J. Stemp
PROPERTYTESTING
2010
15 years 3 months ago
Sublinear Algorithms in the External Memory Model
We initiate the study of sublinear-time algorithms in the external memory model [Vit01]. In this model, the data is stored in blocks of a certain size B, and the algorithm is char...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
ICALP
2009
Springer
16 years 6 months ago
External Sampling
We initiate the study of sublinear-time algorithms in the external memory model [14]. In this model, the data is stored in blocks of a certain size B, and the algorithm is charged...
Alexandr Andoni, Piotr Indyk, Krzysztof Onak, Roni...
TOG
2012
237views Communications» more  TOG 2012»
13 years 8 months ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...
PRL
2006
98views more  PRL 2006»
15 years 5 months ago
Data complexity assessment in undersampled classification of high-dimensional biomedical data
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...
Richard Baumgartner, Ray L. Somorjai