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ICML
2007
IEEE
14 years 8 months ago
Optimal dimensionality of metric space for classification
In many real-world applications, Euclidean distance in the original space is not good due to the curse of dimensionality. In this paper, we propose a new method, called Discrimina...
Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo,...
STACS
2007
Springer
14 years 1 months ago
Hard Metrics from Cayley Graphs of Abelian Groups
: Hard metrics are the class of extremal metrics with respect to embedding into Euclidean spaces: they incur Ω(logn) multiplicative distortion, which is as large as it can possib...
Ilan Newman, Yuri Rabinovich
EMSOFT
2007
Springer
14 years 1 months ago
Methods for multi-dimensional robustness optimization in complex embedded systems
Design space exploration of embedded systems typically focuses on classical design goals such as cost, timing, buffer sizes, and power consumption. Robustness criteria, i.e. sensi...
Arne Hamann, Razvan Racu, Rolf Ernst
CODES
2006
IEEE
14 years 1 months ago
A formal approach to robustness maximization of complex heterogeneous embedded systems
Embedded system optimization typically considers objectives such as cost, timing, buffer sizes and power consumption. Robustness criteria, i.e. sensitivity of the system to variat...
Arne Hamann, Razvan Racu, Rolf Ernst
ISCAPDCS
2008
13 years 8 months ago
QoS for Networked Heterogeneous Real-Time Embedded Systems
--With the development of networked real-time embedded systems, the ability to guarantee traffic throughput rates and to decrease delay, energy, and loss rates, is particularly imp...
Meikang Qiu, Jiande Wu, Chun Jason Xue, Jingtong H...