Sciweavers

403 search results - page 42 / 81
» Accounting for input model and parameter uncertainty in simu...
Sort
View
NIPS
1998
13 years 10 months ago
Learning Nonlinear Dynamical Systems Using an EM Algorithm
The Expectation Maximization EM algorithm is an iterative procedure for maximum likelihood parameter estimation from data sets with missing or hidden variables 2 . It has been app...
Zoubin Ghahramani, Sam T. Roweis
VLSID
2005
IEEE
118views VLSI» more  VLSID 2005»
14 years 9 months ago
Battery Model for Embedded Systems
This paper explores the recovery and rate capacity effect for batteries used in embedded systems. It describes the prominent battery models with their advantages and drawbacks. It...
Venkat Rao, Gaurav Singhal, Anshul Kumar, Nicolas ...
TVCG
2008
147views more  TVCG 2008»
13 years 8 months ago
Interactive Visual Steering - Rapid Visual Prototyping of a Common Rail Injection System
Interactive steering with visualization has been a common goal of the visualization research community for twenty years, but it is rarely ever realized in practice. In this paper w...
Kresimir Matkovic, Denis Gracanin, Mario Jelovic, ...
CSSE
2008
IEEE
14 years 3 months ago
Stochastic Gradient Algorithm for Multi-input Systems Based on the Auxiliary Model
—This paper presents an auxiliary model based stochastic gradient parameter estimation algorithm for multiinput output-error systems by minimizing a quadratic cost function. The ...
Yuwu Liao, Xianfang Wang, Rui Feng Ding
ICCV
2003
IEEE
14 years 10 months ago
Conditional Feature Sensitivity: A Unifying View on Active Recognition and Feature Selection
The objective of active recognition is to iteratively collect the next "best" measurements (e.g., camera angles or viewpoints), to maximally reduce ambiguities in recogn...
Xiang Sean Zhou, Dorin Comaniciu, Arun Krishnan