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APPROX
2010
Springer
137views Algorithms» more  APPROX 2010»
13 years 9 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
14 years 1 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»
13 years 8 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»
12 years 7 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»
13 years 2 months 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...