Hierarchical trie packet classification algorithm based on expectation-maximization clustering. [PDF]
PLoS ONE, 2017 With the development of computer network bandwidth, packet classification algorithms which are able to deal with large-scale rule sets are in urgent need. Among the existing algorithms, researches on packet classification algorithms based on hierarchical
Xia-An Bi, Junxia Zhao
doaj +1 more source
Incorporating Importance Sampling in EM Learning for Sequence Detection in SPAD Underwater OWC
IEEE Access, 2019 In this paper, an importance sampling-based expectation-maximization (EMIS) algorithm is developed for sequence detection in single-photon avalanche diode underwater optical wireless communication (OWC) systems.
Nuo Huang +3 more
doaj +1 more source
Expectation-Maximization via Pretext-Invariant Representations
IEEE Access, 2023 Contrastive learning methods have been widely adopted in numerous unsupervised and self-supervised visual representation learning methods. Such algorithms aim to maximize the cosine similarity between two positive samples while minimizing that of the ...
Chingis Oinar, Binh M. Le, Simon S. Woo
doaj +1 more source
Gauss process state-space model optimization algorithm with expectation maximization
International Journal of Distributed Sensor Networks, 2019 A Gauss process state-space model trained in a laboratory cannot accurately simulate a nonlinear system in a non-laboratory environment. To solve this problem, a novel Gauss process state-space model optimization algorithm is proposed by combining the ...
Hongqiang Liu +3 more
doaj +1 more source
An Efficient Gaussian Filter Based on Gaussian Symmetric Markov Random Field
IEEE Access, 2022 This article presents a new image denoising algorithm that uses Gaussian Symmetric Markov random fields based on maximum a posteriori estimation. First, an image denoising model based on Gaussian Symmetric Markov random fields is built, and the image ...
Fusong Xiong +3 more
doaj +1 more source
Failure Analysis for Truncated and Fully Censored Lifetime Data With a Hierarchical Grid Algorithm
IEEE Access, 2020 In the field of failure analysis and reliability evaluation, truncated and censored lifetime data due to observational constraints and periodic inspection schemes are highly common. The expectation-maximization algorithm is a widely employed approach for
Qi Li +5 more
doaj +1 more source
A recursive expectation-maximization algorithm for speaker tracking and separation
EURASIP Journal on Audio, Speech, and Music Processing, 2021 The problem of blind and online speaker localization and separation using multiple microphones is addressed based on the recursive expectation-maximization (REM) procedure.
Ofer Schwartz, Sharon Gannot
doaj +1 more source
Channel Estimation for Relay-Based M2M Two-Way Communications Using Expectation-Maximization
International Journal of Distributed Sensor Networks, 2013 The growing popularity of machine-to-machine (M2M) communications in wireless networks is driving the need to update the corresponding receiver technology based on the characteristics of M2M.
Xiaoyan Xu +4 more
doaj +1 more source
EURASIP Journal on Image and Video Processing, 2018 Considering the non-uniqueness and instability of concrete defect detection in construction engineering, ultrasonic time of flight data and maximum likelihood expectation maximization algorithm were proposed to improve the readability of the ultrasonic ...
Honghui Fan, Hongjin Zhu
doaj +1 more source
An Integrated Approach for Making Inference on the Number of Clusters in a Mixture Model
Entropy, 2019 This paper presents an integrated approach for the estimation of the parameters of a mixture model in the context of data clustering. The method is designed to estimate the unknown number of clusters from observed data.
Erlandson Ferreira Saraiva +3 more
doaj +1 more source