Results 31 to 40 of about 253,991 (289)

Order thresholding

, 2010
A new thresholding method, based on L-statistics and called order thresholding, is proposed as a technique for improving the power when testing against high-dimensional alternatives.
Akritas, Michael G., Kim, Min Hee
core   +1 more source

Evaluation of Unsupervised Change Detection Methods Applied to Landslide Inventory Mapping Using ASTER Imagery

Remote Sensing, 2018
Natural hazards include a wide range of high-impact phenomena that affect socioeconomic and natural systems. Landslides are a natural hazard whose destructive power has caused a significant number of victims and substantial damage around the world ...
Rocío N. Ramos-Bernal, René Vázquez-Jiménez, Raúl Romero-Calcerrada, Patricia Arrogante-Funes, Carlos J. Novillo   +4 more
doaj   +1 more source

Matrix Recipes for Hard Thresholding Methods

, 2013
In this paper, we present and analyze a new set of low-rank recovery algorithms for linear inverse problems within the class of hard thresholding methods.
Anastasios Kyrillidis, Hard Thresholding Methods, Volkan Cevher   +2 more
core   +2 more sources

Phenology-Based Vegetation Index Differencing for Mapping of Rubber Plantations Using Landsat OLI Data

Remote Sensing, 2015
Accurate and up-to-date mapping and monitoring of rubber plantations is challenging. In this study, we presented a simple method for rapidly and accurately mapping rubber plantations in the Xishuangbanna region of southwest China using phenology-based ...
Hui Fan, Xiaohua Fu, Zheng Zhang, Qiong Wu   +3 more
doaj   +1 more source

Improvement in the Between-Class Variance Based on Lognormal Distribution for Accurate Image Segmentation

Entropy, 2022
There are various distributions of image histograms where regions form symmetrically or asymmetrically based on the frequency of the intensity levels inside the image.
Walaa Ali H. Jumiawi, Ali El-Zaart
doaj   +1 more source

Exact Hybrid Covariance Thresholding for Joint Graphical Lasso

, 2015
This paper considers the problem of estimating multiple related Gaussian graphical models from a $p$-dimensional dataset consisting of different classes. Our work is based upon the formulation of this problem as group graphical lasso. This paper proposes
A Spira, D Gabay, DM Witten, J Friedman, K Mohan, M Yuan, M Yuan, O Banerjee, P Danaher, P Tseng, R Mazumder, S Hara, S Zhou, V Jojic, X Yuan, Y Zhu   +15 more
core   +1 more source

Block Thresholding on the Sphere [PDF]

, 2014
The aim of this paper is to study the nonparametric regression estimators on the sphere built by the needlet block thresholding. The block thresholding procedure proposed here follows the method introduced by Hall, Kerkyacharian and Picard in [Hall ...
Durastanti, Claudio
core   +1 more source

Thresholds, Expectation Thresholds and Cloning

The Electronic Journal of Combinatorics
Let $p_\mathrm{c}$ and $q_\mathrm{c}$ be the threshold and the expectation threshold, respectively, of an increasing family $\mathcal{F}$ of subsets of a finite set $X$, and let $l$ be the size of a largest minimal element of $\mathcal{F}$. Recently, Park and Pham proved the Kahn–Kalai conjecture, which says that $p_\mathrm{c} \le K q_\mathrm{c} \log_2
Tomasz Przybylowski, Oliver Riordan
openaire   +2 more sources

Threshold Graph Limits and Random Threshold Graphs [PDF]

Internet Mathematics, 2008
47 pages, 8 ...
Persi Diaconis, Susan P. Holmes, Svante Janson   +2 more
openaire   +4 more sources

An Automatic Multilevel Image Thresholding Using Relative Entropy and Meta-Heuristic Algorithms

Entropy, 2013
Multilevel thresholding has been long considered as one of the most popular techniques for image segmentation. Multilevel thresholding outputs a gray scale image in which more details from the original picture can be kept, while binary thresholding can ...
Josue R. Cuevas, Yun-Chia Liang
doaj   +1 more source