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APPROX
2010
Springer
137views Algorithms» more  APPROX 2010»
15 years 7 months ago
Online Embeddings
We initiate the study of on-line metric embeddings. In such an embedding we are given a sequence of n points X = x1, . . . , xn one by one, from a metric space M = (X, D). Our goal...
Piotr Indyk, Avner Magen, Anastasios Sidiropoulos,...
CODES
2006
IEEE
15 years 11 months ago
TLM/network design space exploration for networked embedded systems
This paper presents a methodology to combine Transaction Level Modeling and System/Network co-simulation for the design of networked embedded systems. As a result, a new design di...
Nicola Bombieri, Franco Fummi, Davide Quaglia
GECCO
2008
Springer
163views Optimization» more  GECCO 2008»
15 years 6 months ago
Embedded evolutionary multi-objective optimization for worst case robustness
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
Gideon Avigad, Jürgen Branke
DSD
2011
IEEE
194views Hardware» more  DSD 2011»
14 years 5 months ago
Reliability-Aware Design Optimization for Multiprocessor Embedded Systems
—This paper presents an approach for the reliability-aware design optimization of real-time systems on multi-processor platforms. The optimization is based on an extension of wel...
Jia Huang, Jan Olaf Blech, Andreas Raabe, Christia...
ML
2010
ACM
193views Machine Learning» more  ML 2010»
15 years 11 days ago
On the eigenvectors of p-Laplacian
Spectral analysis approaches have been actively studied in machine learning and data mining areas, due to their generality, efficiency, and rich theoretical foundations. As a natur...
Dijun Luo, Heng Huang, Chris H. Q. Ding, Feiping N...