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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
15 years 7 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SDM
2009
SIAM
175views Data Mining» more  SDM 2009»
15 years 7 months ago
Low-Entropy Set Selection.
Most pattern discovery algorithms easily generate very large numbers of patterns, making the results impossible to understand and hard to use. Recently, the problem of instead sel...
Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, H...
EUROGRAPHICS
2010
Eurographics
15 years 7 months ago
HCCMeshes: Hierarchical-Culling oriented Compact Meshes
Hierarchical culling is a key acceleration technique used to efficiently handle massive models for ray tracing, collision detection, etc. To support such hierarchical culling, bo...
Tae-Joon Kim, Yongyoung Byun, Yongjin Kim, Bochang...
SOSP
2003
ACM
15 years 6 months ago
Performance debugging for distributed systems of black boxes
Many interesting large-scale systems are distributed systems of multiple communicating components. Such systems can be very hard to debug, especially when they exhibit poor perfor...
Marcos Kawazoe Aguilera, Jeffrey C. Mogul, Janet L...
CIDM
2009
IEEE
15 years 4 months ago
Ensemble member selection using multi-objective optimization
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
Tuve Löfström, Ulf Johansson, Henrik Bos...
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