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UM
2009
Springer
16 years 1 months ago
Predicting Customer Models Using Behavior-Based Features in Shops
Abstract. Recent sensor technologies have enabled the capture of users’ behavior data. Given the large amount of data currently available from sensor-equipped environments, it is...
Junichiro Mori, Yutaka Matsuo, Hitoshi Koshiba, Ke...
APLAS
2009
ACM
16 years 1 months ago
Asymptotic Resource Usage Bounds
When describing the resource usage of a program, it is usual to talk in asymptotic terms, such as the well-known “big O” notation, whereby we focus on the behaviour of the prog...
Elvira Albert, Diego Alonso, Puri Arenas, Samir Ge...
ASPDAC
2009
ACM
143views Hardware» more  ASPDAC 2009»
16 years 1 months ago
Statistical modeling and analysis of chip-level leakage power by spectral stochastic method
In this paper, we present a novel statistical full-chip leakage power analysis method. The new method can provide a general framework to derive the full-chip leakage current or po...
Ruijing Shen, Ning Mi, Sheldon X.-D. Tan, Yici Cai...
ASPDAC
2009
ACM
161views Hardware» more  ASPDAC 2009»
16 years 1 months ago
Risk aversion min-period retiming under process variations
— Recent advances in statistical timing analysis (SSTA) achieve great success in computing arrival times under variations by extending sum and maximum operations to random variab...
Jia Wang, Hai Zhou
CANDC
2009
ACM
16 years 1 months ago
Discovery is never by chance: designing for (un)serendipity
Serendipity has a long tradition in the history of science as having played a key role in many significant discoveries. Computer scientists, valuing the role of serendipity in dis...
Paul André, m. c. schraefel, Jaime Teevan, ...
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