Results 221 to 230 of about 83,179 (266)

A Scalable Resampling Architecture

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, 2007
This paper proposes a resampler architecture which employs the filtering the input signal with a FIR filter whose coefficients depend on the phase of the interpolated sample relative to the input samples. The novelty of this architecture consists in generating the coefficients by using linear interpolation between a number of predefined coefficient ...
Mihail Petrov, Manfred Glesner
openaire   +1 more source

Resampling for Face Recognition

2003
A number of applications require robust human face recognition under varying environmental lighting conditions and different facial expressions, which considerably vary the appearance of human face. However, in many face recognition applications, only a small number of training samples for each subject are available; these samples are not able to ...
Xiaoguang Lu, Anil K. Jain 0001
openaire   +1 more source

Annealing by Increasing Resampling

2020
Annealing by Increasing Resampling (AIR, for short) is a stochastic hill-climbing optimization algorithm that evaluates the objective function for resamplings with increasing size. At the beginning stages, AIR makes state transitions like a random walk, because it uses small resamplings for which evaluation has large error at high probability.
Naoya Higuchi, Yasunobu Imamura, Takeshi Shinohara, Kouichi Hirata, Tetsuji Kuboyama   +4 more
openaire   +1 more source

The Deficiency Introduced by Resampling

Mathematical Methods of Statistics, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Antithetic Resampling for the Bootstrap

Biometrika, 1989
Summary: An antithetic variates method for the bootstrap is proposed and discussed. It is applicable quite generally to bias estimation, distribution function estimation and quantile estimation, for example. It is based on an `antithetic permutation' of the sample, which amounts to ranking values of a certain function of the data.
openaire   +2 more sources

Resampling

2023
Rituparna Sen, Sourish Das
openaire   +1 more source

Resampling algorithms based on sample concatenation for imbalance learning

Knowledge-Based Systems, 2022
Hongbo Shi, Yuwen Chen, Suqin Ji
exaly  

Resampling Methods

Technometrics, 2006
openaire   +1 more source

Bootstrapping and resampling

Anaesthesia, 2017
openaire   +2 more sources

A semi-supervised resampling method for class-imbalanced learning

Expert Systems With Applications, 2023
Zhen Jiang, Lingyun Zhao, Yongzhao Zhan   +2 more
exaly