Results 11 to 20 of about 5,716,043 (251)
Sharp Power Mean Bounds for Sándor Mean [PDF]
We prove that the double inequality Mp(a,b)0 with a≠b if and only if p≤1/3 and q≥log 2/(1+log 2)=0.4093…, where X(a,b) and Mr(a,b) are the Sándor and rth power means of a and b ...
Yu-Ming Chu, Li-Min Wu, Zhen-Hang Yang
core +1 more source
Interactive Self-Training with Mean Teachers for Semi-supervised Object Detection
The goal of semi-supervised object detection is to learn a detection model using only a few labeled data and large amounts of unlabeled data, thereby reducing the cost of data labeling.
Qize Yang +4 more
semanticscholar +1 more source
Mean-shift outlier detection and filtering
Traditional outlier detection methods create a model for data and then label as outliers for objects that deviate significantly from this model. However, when dat has many outliers, outliers also pollute the model.
Jiawei Yang, S. Rahardja, P. Fränti
semanticscholar +1 more source
On a class of new means including the generalized Schwab-Borchardt mean [PDF]
The so-called Schwab-Borchardt mean plays an important role in the theory of (bivariate) means. It includes a lot of standard means, such as the logarithmic mean, the first and second Seiffert means and the Neuman-Sándor mean.
József Sándor, Mustapha Raïssouli
core +1 more source
Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not
. The root-mean-squared error (RMSE) and mean absolute error (MAE) are widely used metrics for evaluating models. Yet, there remains enduring confusion over their use, such that a standard practice is to present both, leaving it to the reader to decide ...
T. Hodson
semanticscholar +1 more source
Sharp bounds involving the Sandor-Yang means in terms of other bivariate means
In this paper, we present the best possible parameters ${\alpha _1},{\alpha _2},{\alpha _3},{\alpha _4},{\beta _1},{\beta _2},{\beta _3},{\beta _4} \in [0,1]$ such that the double inequalities hold for all $a,b > 0$ with $a \neq b$.
S. Li, Fang Jin, Hui-Zuo Xu
semanticscholar +1 more source
Receiver Multiuser Diversity Aided Multi-Stage MMSE Multiuser Detection for DS-CDMA and SDMA Systems Employing I-Q Modulation [PDF]
The so-called receiver multiuser diversity aided multistage minimum mean-square error multiuser detector (RMD/MS-MMSE MUD), which was proposed previously by the author, is investigated in the context of the direct-sequence code-division multiple-access ...
Yang, Lie-Liang, Lie-Liang Yang
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Sharp bounds for Sándor-Yang means in terms of quadratic mean
In the article, we find the best possible parameters α , β , λ , μ ∈ (1/2,1) such that the double inequalities Q[αa+(1−α)b,αb+(1−α)a] < RQA(a,b) < Q[βa+(1−β)b,βb+(1−β)a], Q[λa+(1−λ)b,λb+(1−λ)a] < RAQ(a,b) < Q[μa+(1−μ)b,μb+(1−μ)a] hold for all a,b > 0 ...
Hui-Zuo Xu, Wei-Mao Qian
semanticscholar +1 more source
Sharp bounds for Sandor-Yang means in terms of Lehmer means
In the article, the authors prove that the double inequalities $L_{0} (a,b) 0$ with $a\ne b$, where $L_{p} (a,b)=\left( {a^{p+1}+b^{p+1}}\right)/\left( {a^{p}+b^{p}} \right)$ is the $p$th Lehmer mean, and $S_{AQ} (a,b)$, $S_{QA} (a,b)$ are the S\'{a}ndor-
Jun Wang, Hui-Zuo Xu, Wei-Mao Qian
semanticscholar +1 more source
On Certain Inequalities for Neuman-Sándor Mean
We present several new sharp bounds for Neuman-Sándor mean in terms of arithmetic, centroidal, quadratic, harmonic root square, and contraharmonic ...
Yu-Ming Chu, Wei-Mao Qian
core +1 more source

