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TSP
2010
15 years 1 months ago
Optimization and analysis of distributed averaging with short node memory
Distributed averaging describes a class of network algorithms for the decentralized computation of aggregate statistics. Initially, each node has a scalar data value, and the goal...
Boris N. Oreshkin, Mark Coates, Michael G. Rabbat
ICDE
2009
IEEE
392views Database» more  ICDE 2009»
17 years 6 months ago
FF-Anonymity: When Quasi-Identifiers Are Missing
Existing approaches on privacy-preserving data publishing rely on the assumption that data can be divided into quasi-identifier attributes (QI) and sensitive attribute (SA). This ...
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Y...
ICIP
1997
IEEE
16 years 8 months ago
Higher order local autocorrelation features of PARCOR images for gesture recognition
This paper proposes a feature extraction method for gesture recognition, which is based on higher order local autocorrelation (HLAC) of PARCOR images. To extract dominant informat...
Takio Kurita, Yasuo Kobayashi, Taketoshi Mishima
ISCC
2009
IEEE
129views Communications» more  ISCC 2009»
16 years 1 months ago
Handling dynamics in gossip-based aggregation schemes
A problem in large and dynamic networks consists in making available at each node global information about the state of the network. Gossip-based aggregation schemes are a simple ...
Nicola Bicocchi, Marco Mamei, Franco Zambonelli
AIED
2009
Springer
16 years 1 months ago
A Phoneme-Based Student Model for Adaptive Spelling Training
We present a novel phoneme-based student model for spelling training. Our model is data driven, adapts to the user and provides information for, e.g., optimal word selection. We de...
Gian-Marco Baschera, Markus Gross