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AUTOMATICA
2007
116views more  AUTOMATICA 2007»
15 years 14 days ago
Periodic input estimation for linear periodic systems: Automotive engine applications
In this paper, we consider periodic linear systems driven by T0-periodic signals that we desire to reconstruct. The systems under consideration are of the form ˙x =A(t)x +A0(t)w(...
Jonathan Chauvin, Gilles Corde, Nicolas Petit, Pie...
104
Voted
NIPS
2007
15 years 1 months ago
Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
A situation where training and test samples follow different input distributions is called covariate shift. Under covariate shift, standard learning methods such as maximum likeli...
Masashi Sugiyama, Shinichi Nakajima, Hisashi Kashi...
92
Voted
VLSID
2002
IEEE
132views VLSI» more  VLSID 2002»
16 years 21 days ago
VLSI Architecture for a Flexible Motion Estimation with Parameters
If motion estimation can choose the most suitable algorithm according to the changing characteristics of input image signals, we can get benefits, which improve quality and perfor...
Jinku Choi, Nozomu Togawa, Masao Yanagisawa, Tatsu...
97
Voted
ESEM
2007
ACM
15 years 4 months ago
An Approach to Global Sensitivity Analysis: FAST on COCOMO
There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data coll...
Stefan Wagner
IUI
2009
ACM
15 years 9 months ago
A probabilistic mental model for estimating disruption
Adaptive software systems are intended to modify their appearance, performance or functionality to the needs and preferences of different users. A key bottleneck in building effec...
Bowen Hui, Grant Partridge, Craig Boutilier