Results 251 to 260 of about 3,623,641 (323)

Interacting Multiple Model LK Tracking

Applied Mechanics and Materials, 2014
The nonlinear motion state of object seriously affects the object tracking characteristics in complex motion scene. In this paper, we propose an interacting multiple model LK (IMM-LK) tracking algorithm to enhance the performance of tracking nonlinear moving object.
Hong Wang, Jia Deng
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Interactive Intent Modeling from Multiple Feedback Domains

Proceedings of the 21st International Conference on Intelligent User Interfaces, 2016
In exploratory search, the user starts with an uncertain information need and provides relevance feedback to the system's suggestions to direct the search. The search system learns the user intent based on this feedback and employs it to recommend novel results.
Kaski Samuel, Daee Pedram, Glowacka Dorota, Pyykkö Joel, Kaski Samuel   +4 more
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Robust inertial navigation system/ultra wide band integrated indoor quadrotor localization employing adaptive interacting multiple model-unbiased finite impulse response/Kalman filter estimator

, 2020
A new adaptive interacting multiple model (IMM)-based unbiased finite impulse response (UFIR)/Kalman filter (KF) algorithm is proposed to provide accurate and robust mini quadrotor position information in indoor environments. The IMM-UFIR/KF algorithm is
Yuan Xu, Y. Shmaliy, Xiyuan Chen, Yueyang Li, Wanfeng Ma   +4 more
semanticscholar   +1 more source

Electrocardiogram signal modeling using interacting multiple models

2011 Conference Record of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2011
The automatic classification of different heart diseases for monitoring cardiac health through the use of dynamic modeling of electrocardiogram (ECG) signals would yield innovative findings of immense clinical importance. This has been a difficult problem, however, as ECG signals consist of fiducial points with different morphologies within a single ...
Shwetha Edla, Narayan Kovvali, Antonia Papandreou-Suppappola   +2 more
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Novel interacting multiple model filter for uncertain target tracking systems based on weighted Kullback-Leibler divergence

Journal of the Franklin Institute, 2020
Interacting multiple model (IMM) filter is a classical method to track targets in hybrid situations. However, it can exhibit divergence when the models are correlated or the system suffers from uncertainties.
Bowen Hou, Jiongqi Wang, Zhangming He, Yongrui Qin, Haiyin Zhou, Dayi Wang, Dong Li   +6 more
semanticscholar   +1 more source

Multiplicative Interaction in Generalized Linear Models

Biometrics, 1995
Bilinear oI biadditive multiplicative models for interaction in two-way tables provide the major means for Studyiing g ,eniotype by cnvlirOnllllcmlt initer'actioni pioblems. In applicatioIns the typical accompanying assumptions are those of a noirnally clistributecl error and an identity link.
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Forecasting volatility with interacting multiple models

Finance Research Letters, 2017
Abstract We examine the performance of Kalman filter techniques in forecasting volatility. We find that the simple implementation of an online Kalman filtering procedure that combines commonly used forecasting models with market-based estimates improves the accuracy of volatility forecasts.
Jiri Svec, Xerxis Katrak
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Interacting multiple model gaussian particle filter

2011 9th World Congress on Intelligent Control and Automation, 2011
For maneuvering target tracking, the interacting multiple model Gaussian particle filter is proposed without resampling, which can avoid the degeneracy in the effective number of particles. The basic idea is to combine the interacting multiple model approach with a Gaussian particle filter and this approach is easy of parallel implementation.
null Zhigang Liu, null Jinkuan Wang
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A novel interacting multiple model algorithm

Signal Processing, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qu, Hongquan, Pang, Liping, Li, Shaohong
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Interacting multiple model road curvature estimation

2012 15th International IEEE Conference on Intelligent Transportation Systems, 2012
Accurate road curvature estimation is essential to many drive assistance systems and active safety systems, such as curve speed warning, lane departure warning, and lane keeping assistance. To improve the overall performance of road curvature estimation and path prediction, we proposed an interacting multiple model (structure) approach in curvature ...
Truman Shen, Faroog Ibrahim
openaire   +1 more source