Results 11 to 20 of about 8,240,365 (341)
Stochastic processes and filtering theory
, 1970 This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms accessible to engineering students.
Jazwinski, Andrew H
core +2 more sources
Neural Collaborative Filtering vs. Matrix Factorization Revisited [PDF]
ACM Conference on Recommender Systems, 2020 Embedding based models have been the state of the art in collaborative filtering for over a decade. Traditionally, the dot product or higher order equivalents have been used to combine two or more embeddings, e.g., most notably in matrix factorization ...
Steffen Rendle +3 more
semanticscholar +1 more source
Nonanticipative Rate Distortion Function and Relations to Filtering Theory [PDF]
IEEE Transactions on Automatic Control, 2012 The relation between nonanticipative rate distortion function (RDF) and filtering theory is discussed on abstract spaces. The relation is established by imposing a realizability constraint on the reconstruction conditional distribution of the classical ...
C. Charalambous +2 more
semanticscholar +1 more source
Mixed H2/H∞ filtering for uncertain systems with regional pole assignment [PDF]
, 2005 Copyright [2005] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Wang, Z +4 more
core +1 more source
Theory of Optimal Bayesian Feature Filtering [PDF]
Bayesian Analysis, 2020 Optimal Bayesian feature filtering (OBF) is a supervised screening method designed for biomarker discovery. In this article, we prove two major theoretical properties of OBF. First, optimal Bayesian feature selection under a general family of Bayesian models reduces to filtering if and only if the underlying Bayesian model assumes all features are ...
Foroughi pour, Ali, Dalton, Lori A.
openaire +4 more sources
Improved multi-target tracking algorithm based on SMC-CBMeMBer for the airborne Doppler radar
The Journal of Engineering, 2019 To effectively suppress clutter in airborne Doppler radar and improve multi-target tracking (MTT) performance, this study proposes an improved MTT algorithm based on Sequential Monte Carlo Cardinality Balanced Multi-target Multi-Bernoulli (SMC-CBMeMBer ...
Muyang Luo +4 more
doaj +1 more source
Re-detection object tracking algorithm in the cyber physical system
IET Cyber-Physical Systems, 2020 Cyber physical system (CPS) is a complex system combining computation, network and physics; object tracking is an important application of CPS. To solve the problem that the traditional kernel correlation filtering tracking algorithm cannot recover the ...
Zhaohua Hu, JiaJing Huang
doaj +1 more source
IEEE Access, 2021 This paper investigates the distributed fault detection problem for linear discrete time-varying heterogeneous multi-agent systems under relative output information.
Peilu Zou, Ping Wang, Chengpu Yu
doaj +1 more source
New Results in Linear Filtering and Prediction Theory
, 1961 A nonlinear differential equation of the Riccati type is derived for the covariance matrix of the optimal filtering error. The solution of this "variance equation" completely specifies the optimal filter for either finite or infinite smoothing intervals ...
R. Kálmán, R. Bucy
semanticscholar +1 more source
δ-GLMB filter based on DI in a clutter
The Journal of Engineering, 2019 For the problem that the performance of existing multi-target tracking algorithm's serious degrades in a dense clutter environment, a novel Doppler information assistant δ-generalised labelled multi-Bernoulli (DI-δ-GLMB) filter is proposed.
Hua-fu Peng +3 more
doaj +1 more source