: 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 ...
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...
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...
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...
Regularized linear classifiers have been successfully applied in undersampled, i.e. small sample size/high dimensionality biomedical classification problems. Additionally, a desig...