Search Results - Vector maximization algorithm

Multi-criteria branch and bound: A vector maximization algorithm for Mixed 0-1 Multiple Objective Linear Programming by Mavrotas, G., Diakoulaki, D.

“…The paper describes the Multi-Criteria Branch and Bound (MCBB) algorithm, a vector maximization algorithm capable of deriving all efficient extreme points…”
Get full text

Expectation–maximization algorithm with total variation regularization for vector-valued image segmentation by Liu, Jun, Ku, Yin-Bon, Leung, Shingyu

“… We integrate the total variation (TV) minimization into the expectation–maximization (EM) algorithm to perform the task of image segmentation for general vector-valued images…”
Get full text

An Adaptive Steering-Vector-Based Evolutionary Algorithm for Influence Maximization in Social Networks by Zhang, Lei, Xu, Xinxiang, Ma, Kaicong, Ge, Yuanyuan, Yang, Haipeng

“… In this paper, we design an adaptive steering vector (ASV) representing the importance of nodes to guide population evolution, and propose a novel meta-heuristic algorithm named ASVEA to solve the IM problem effectively and efficiently…”
Get full text

An adapted vector autoregressive expectation maximization imputation algorithm for climate data networks by Washington, Benjamin J., Seymour, Lynne

“…? We propose an iterative multivariate infilling algorithm and explore its effectiveness on three United States temperature networks of varying densities…”
Get full text

Vectorcardiographic loop alignment for fetal movement detection using the Expectation-Maximization algorithm and Support Vector Machines by Vullings, R., Mischi, M.

“…Reduced fetal movement is an important parameter to assess fetal distress. Currently, no suitable methods are available that can objectively assess fetal…”
Get full text

An expectation/maximization nuclear vector replacement algorithm for automated NMR resonance assignments by Langmead, Christopher James, Donald, Bruce Randall

“… Our algorithm performs Nuclear Vector Replacement (NVR) by Expectation/Maximization (EM) to compute assignments…”
Get full text

Identifying predictors of antimicrobial exposure in hospitalized patients using a machine learning approach by Chowdhury, A.S., Lofgren, E.T., Moehring, R.W., Broschat, S.L.

“…Aims Analysis and tracking of antimicrobial utilization (AU) are crucial in antimicrobial stewardship efforts which are used to find effective interventions…”
Get full text

Identifying social vulnerability profiles for coastal flood using supervised and unsupervised machine learning: A case study of Lekki Peninsula, Lagos, Nigeria by Akindejoye, Adesola, Viavattene, Christophe, Priest, Sally, Windridge, David

“… in Lekki Peninsula, Nigeria. By integrating the Expectation Maximization Algorithm with Support Vector Regression (EM-SVR…”
Get full text

An approach based on expectation-maximization algorithm for parameter estimation of Lamb wave signals by Jia, Hongbo, Zhang, Zhichun, Liu, Hongwei, Dai, Fuhong, Liu, Yanju, Leng, Jinsong

“…•Develop a model function with five parameters to model the Lamb wave signal.•Adopt EM algorithm to obtain the parameters…”
Get full text

Integrated beamforming and trajectory optimization algorithm for RIS-assisted UAV system by Sin, Seungseok, Sim, Yuna, Ma, Jina, Moon, Sangmi, You, Young-Hwan, Kim, Cheol Hong, Hwang, Intae

“…–maximization algorithm to optimize the transmission beamforming vector, RIS beamforming vector, and UAV–RIS trajectory…”
Get full text

Text-Independent Speaker Recognition in Clean and Noisy Backgrounds Using Modified VQ-LBG Algorithm by Mallikarjunan, M., Karmali Radha, P., Bharath, K. P., Muthu, Rajesh Kumar

“…) process and expectation maximization (EM) algorithm. Vector quantization technique is mainly used for feature matching where a separate codebook will be generated for each speaker…”
Get full text

Gaussian Mixture—Expectation Maximization–Based Learned AMP Network With CNN Deep Residual Network for Millimeter Wave Communication by K, Shoukath Ali, Philip, Sajan P, T, Perarasi

“…‐LAMP algorithm incorporates the expectation maximization (EM) algorithm to recover channel information…”
Get full text

Microarray Images Processing Using the Offset Vector Field and Expectation Maximization Algorithm by Weng, Guirong, Su, Jian

“… Image processing is an important step in microarrays experiments. This paper presents a novel technique for removing gene's noises based on the offset vector field and segmenting genes using the expectation maximization algorithm…”
Get full text

ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density by Nitithumbundit, Thanakorn, Chan, Jennifer S.K.

“… This paper proposes a novel alternating expectation conditional maximisation (AECM) algorithm to estimate the vector autoregressive moving average (VARMA…”
Get full text

Frequency Increment Optimization With FDA-MIMO Radar for Target Localization by Lan, Lan, Li, Kunkun, Xu, Jingwei, Liao, Guisheng, So, Hing Cheung

“…)-Maximum Block Improvement (MBI) algorithm is devised by partitioning the frequency increment vector into distinct blocks…”
Get full text

A Computationally Efficient Discrete Bit-Loading Algorithm for OFDM Systems Subject to Spectral-Compatibility Limits by Thanh Nhan Vo, Amis, Karine, Chonavel, Thierry, Siohan, Pierre

“…) algorithms. Second, we present a new low-complexity loading algorithm that exploits the bit vector obtained by rounding the water-filling algorithm solution to the associated continuous-input rate maximization…”
Get full text

Self-organizing maps, vector quantization, and mixture modeling by Heskes, T.

“… Exploiting the link between vector quantization and mixture modeling, we derive expectation-maximization (EM…”
Get full text

SPARLS: The Sparse RLS Algorithm by Babadi, B, Kalouptsidis, N, Tarokh, V

“… The SPARLS algorithm exploits noisy observations of the tap-weight vector output stream and produces its estimate using an expectation-maximization type algorithm…”
Get full text

Using the expectation maximization algorithm to estimate coefficient alpha for scales with item-level missing data by Enders, Craig K

“… In the 1st step, a covariance matrix and mean vector are obtained using the expectation maximization (EM) algorithm…”
Get more information

Proportionate-type NLMS algorithms based on maximization of the joint conditional PDF for the weight deviation vector by Wagner, Kevin T, Doroslovački, Miloš I

“…In this paper, we present a proportionate-type normalized least mean square algorithm which operates by choosing adaptive gains at each time step in a manner designed to maximize the joint conditional…”
Get full text