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» Input Modeling Using Quantile Statistical Methods
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DEBU
2006
163views more  DEBU 2006»
13 years 7 months ago
Towards Activity Databases: Using Sensors and Statistical Models to Summarize People's Lives
Automated reasoning about human behavior is a central goal of artificial intelligence. In order to engage and intervene in a meaningful way, an intelligent system must be able to ...
Tanzeem Choudhury, Matthai Philipose, Danny Wyatt,...
DATE
2003
IEEE
116views Hardware» more  DATE 2003»
14 years 29 days ago
Statistical Timing Analysis Using Bounds
The growing impact of within-die process variation has created the need for statistical timing analysis, where gate delays are modeled as random variables. Statistical timing anal...
Aseem Agarwal, David Blaauw, Vladimir Zolotov, Sar...
INFORMATICALT
2011
89views more  INFORMATICALT 2011»
13 years 2 months ago
Large-Scale Data Analysis Using Heuristic Methods
Estimation and modelling problems as they arise in many data analysis areas often turn out to be unstable and/or intractable by standard numerical methods. Such problems frequently...
Gintautas Dzemyda, Leonidas Sakalauskas
ICPR
2006
IEEE
14 years 8 months ago
Direct Mapping of Visual Input to Motor Torques
Most methods for visual control of robots formulate the robot command in joint or Cartesian space. To move the robot these commands are remapped to motor torques usually requiring...
Jeremiah J. Neubert, Nicola J. Ferrier
IJSYSC
1998
93views more  IJSYSC 1998»
13 years 7 months ago
A new adaptive control scheme with arbitrary nonlinear inputs
This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
Wen Yu, Manuel de la Sen