Results 31 to 40 of about 142,944 (242)

Iterated diffusion maps for feature identification

Applied and Computational Harmonic Analysis, 2018
Recently, the theory of diffusion maps was extended to a large class of local kernels with exponential decay which were shown to represent various Riemannian geometries on a data set sampled from a manifold embedded in Euclidean space. Moreover, local kernels were used to represent a diffeomorphism, H, between a data set and a feature of interest using
Berry, Tyrus, Harlim, John
openaire   +4 more sources

Iterative Method for Exponential Damping Identification

Computer-Aided Civil and Infrastructure Engineering, 2015
A new potential damping model for the dynamic analysis of systems is called exponential damping. This article shows that the finite element model updated method for the systems with exponential damping can accurately predict not only the natural frequencies but also the frequency response functions (FRFs) of the systems.
Yuhua Pan, Yuanfeng Wang
openaire   +1 more source

Functional Electrical Stimulation mediated by Iterative Learning Control and 3D robotics reduces motor impairment in chronic stroke [PDF]

, 2012
Background: Novel stroke rehabilitation techniques that employ electrical stimulation (ES) and robotic technologies are effective in reducing upper limb impairments.
Cai, Z, Freeman, C T, Katie L Meadmore, Hughes, A-M, Chris T Freeman, Eric Rogers, Meadmore, K L, Zhonglun Cai, Tong, D, Burridge, J H, Ann-Marie Hughes, Rogers, E, Jane H Burridge, Daisy Tong   +13 more
core   +1 more source

Behavior of a Novel Iterative Deconvolution Algorithm for System Identification [PDF]

, 2005
This paper demonstrates the effectiveness and versatility of an iterative deconvolution algorithm in dealing with noise-rendered, truncated signals when signal averaging is not an option. An iterative deconvolution algorithm for system identification and
Evensen, Harold A., Liu, Qunli, Subhash, Ghatu   +2 more
core   +3 more sources

Least-Squares Based and Gradient Based Iterative Parameter Estimation Algorithms for a Class of Linear-in-Parameters Multiple-Input Single-Output Output Error Systems

Journal of Applied Mathematics, 2014
The identification of a class of linear-in-parameters multiple-input single-output systems is considered. By using the iterative search, a least-squares based iterative algorithm and a gradient based iterative algorithm are proposed.
Cheng Wang, Tao Tang, Dewang Chen
doaj   +1 more source

Iterative LBG clustering for SIMO channel identification

Journal of Communications and Networks, 2003
This paper deals with the problem of channel identification for Single Input Multiple Output (SIMO) slow fading channels using clustering algorithms. Due to the intrinsic memory of the discrete-time model of the channel, over short observation periods, the received data vectors of the SIMO model are spread in clusters because of the AWGN noise.
Laddomada, Massimiliano, Daneshgaran, F.
openaire   +3 more sources

Improving Person Re-Identification With Iterative Impression Aggregation [PDF]

IEEE Transactions on Image Processing, 2020
Our impression about one person often updates after we see more aspects of him/her and this process keeps iterating given more meetings. We formulate such an intuition into the problem of person re-identification (re-ID), where the representation of a query (probe) image is iteratively updated with new information from the candidates in the gallery ...
Dengpan Fu, Bo Xin, Jingdong Wang 0001, Dongdong Chen 0001, Jianmin Bao, Gang Hua 0001, Houqiang Li   +6 more
openaire   +3 more sources

Auxiliary Model Based Least Squares Iterative Algorithms for Parameter Estimation of Bilinear Systems Using Interval-Varying Measurements

IEEE Access, 2018
This paper focuses on the parameter estimation of a class of bilinear systems, for which the input-output representation is derived by eliminating the state variables in the systems.
Meihang Li, Ximei Liu
doaj   +1 more source

Hierarchical Newton Iterative Parameter Estimation of a Class of Input Nonlinear Systems Based on the Key Term Separation Principle

Complexity, 2018
This paper investigates the identification problem for a class of input nonlinear systems whose disturbance is in the form of the moving average model.
Cheng Wang, Kaicheng Li, Shuai Su
doaj   +1 more source

An iterative workflow for mining the human intestinal metaproteome [PDF]

, 2011
Background Peptide spectrum matching (PSM) is the standard method in shotgun proteomics data analysis. It relies on the availability of an accurate and complete sample proteome that is used to make interpretation of the spectra feasible.
Vos, W.M., de, Schaap, Peter, Willem M de Vos, Peter J Schaap, Boeren, S., Christian Beauvallet, Rooijers, Koos, Juste Catherine, Joël Doré, Doré Joël, Beauvallet, Christian, Been, M., de, Rooijers, K., de Been Mark, Schaap, P.J., Dore, Joel, Pilar Galan, Boeren Sjef, Beauvallet, C., Koos Rooijers, de Vos, W.M., Kolmeder, C., Schaap Peter J, Kolmeder, Carolin, Boeren, Sjef, de Vos, Willem M., de Been, Mark, Catherine Juste, Kolmeder Carolin, Galan, P., Doré, J., Rooijers Koos, Juste, C., Galan, Pilar, Mark de Been, Galan Pilar, Sjef Boeren, Beauvallet Christian, de Vos Willem M, de Vos, Willem, Juste, Catherine, Schaap, Peter J., de Been, M., Carolin Kolmeder   +43 more
core   +1 more source