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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
15 years 10 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
CCS
2009
ACM
15 years 7 months ago
Privacy-preserving genomic computation through program specialization
In this paper, we present a new approach to performing important classes of genomic computations (e.g., search for homologous genes) that makes a significant step towards privacy...
Rui Wang, XiaoFeng Wang, Zhou Li, Haixu Tang, Mich...
106
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HPDC
2009
IEEE
15 years 7 months ago
Maintaining reference graphs of globally accessible objects in fully decentralized distributed systems
Since the advent of electronic computing, the processors’ clock speed has risen tremendously. Now that energy efficiency requirements have stopped that trend, the number of proc...
Björn Saballus, Thomas Fuhrmann
EMSOFT
2009
Springer
15 years 7 months ago
Cache-aware scheduling and analysis for multicores
The major obstacle to use multicores for real-time applications is that we may not predict and provide any guarantee on real-time properties of embedded software on such platforms...
Nan Guan, Martin Stigge, Wang Yi, Ge Yu
IROS
2007
IEEE
254views Robotics» more  IROS 2007»
15 years 7 months ago
3D datasets segmentation based on local attribute variation
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
Carla Silva Rocha Aguiar, Sébastien Druon, ...