Results 11 to 20 of about 8,610,250 (238)

Ship Classification Based On Co-Occurrence Matrix and Support Vector Machines [PDF]

Electrica
Synthetic aperture radar (SAR) is an important and efficient imaging technology. This system provides robust information for various applications such as ship detection, climate change, and agricultural land modeling.
Kazım Hanbay, Taha Burak Özdemir
doaj   +2 more sources

Co-occurrence matrix for the total dataset.

, 2022
Co-occurrence matrix for species showing significant associations in the whole dataset. Positive associations are blue; negative associations are yellow. (EPS)
Emily G. Mitchell (8706969), Rebecca Eden (12557521), Andrea Manica (167050)   +2 more
core   +1 more source

Textural features calculated from the normalized co-occurrence matrix.

, 2022
Textural features calculated from the normalized co-occurrence matrix.
Xuelin Wang (527015), Lei Sheng (280500)
core   +1 more source

Co-occurrence of recommendation on social media platforms.

, 2022
Co-occurrence matrices displaying the proportion of recommendations applied together within the same posts for Twitter (top) and Facebook (bottom). Since the co-occurrence is a reciprocal quantity, the matrix is symmetric around the diagonal, thus only ...
Roberta Villa (12292372), Enrico Costa (13955620), Walter Quattrociocchi (522167), Fabiana Zollo (783559), Matteo Cinelli (8575176), Antonio Peruzzi (13955614), Ana Lucía Schmidt (13955617)   +6 more
core   +1 more source

The part of co-occurrence matrix based on all keywords.

, 2023
The part of co-occurrence matrix based on all keywords.
Xiaohan Xu (661043), Roy Anthony Rogers (14768893)   +1 more
core   +1 more source

Co-occurrence matrix of antimicrobial, metal, and biocide resistance genes that show a negative, random, and positive cooccurrence with each other.

, 2022
Co-occurrence matrix of antimicrobial, metal, and biocide resistance genes that show a negative, random, and positive cooccurrence with each other.
Bradd J. Haley (10114951), Seon Woo Kim (3190833), Jo Ann S. Van Kessel (3190827), Serajus Salaheen (10114945), Ernest Hovingh (10114948)   +4 more
core   +1 more source

Method for detecting texture defect of vacuum seal of transparent packaging bag based on machine vision

Shipin yu jixie, 2023
Objective: To solve the problems caused by the manual sampling inspection in the field of food packaging, such as difficult to operate continuously for a long time, easy to miss and wrong detection, and unreliable detection accuracy and stability ...
ZHANG Bao-sheng, ZHOU Cong-ling, WANG Yong-qiang   +2 more
doaj   +1 more source

Identification of Anthracnose Disease in Mango Plant Using Clustering and Gray level Co- occurrence Matrix [PDF]

ITM Web of Conferences, 2020
The aim of this paper is to help farmers to identify disease without observing each and every mango plant by eyes. Farmers can use the pesticides according to the leaf disease identified.
Gawand Mamata, Gowda Soumya, Hnade Sonali, Mahadik Pooja, Dere Prajakta   +4 more
doaj   +1 more source

Binary Co-occurrence Matrix in Image Database Indexing [PDF]

, 2003
The use of the second order statistical measures has became popular in the image database indexing and retrieval. Unlike the common approach, image histogram, second order statistics like image correlogram and autocorrelogram consider also the spatial organization of the image colors or gray levels. Recently, correlograms and autocorrelograms have been
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa, Ari Visa   +3 more
openaire   +2 more sources

Matrix Factorization Equals Efficient Co-occurrence Representation

CoRR, 2018
Matrix factorization is a simple and effective solution to the recommendation problem. It has been extensively employed in the industry and has attracted much attention from the academia. However, it is unclear what the low-dimensional matrices represent.
Farhan Khawar, Nevin L. Zhang
openaire   +2 more sources