Robust deflated canonical correlation analysis via feature factoring for multi-view image classification
K Hui, ED Ganaa, Y Zhan, X Shen - Multimedia Tools and Applications, 2021 - Springer
Abstract Canonical Correlation Analysis (CCA) and its kernel versions (KCCA) are well-
known techniques adopted in feature representation and classification for images. However …
known techniques adopted in feature representation and classification for images. However …
[PDF][PDF] Detecting the spread of online fake news using natural language processing and boosting technique
N Haridas - 2019 - norma.ncirl.ie
Social media is flooded with fake news these days. This impacts the quality of the social
media. By this way online social media is purely affected by the enormous amount of fake …
media. By this way online social media is purely affected by the enormous amount of fake …
Robust deflated principal component analysis via multiple instance factorings for dimension reduction in remote sensing images
Remote sensing data are often adversely affected by noises due to atmospheric water
absorption, transmission errors, sensor sensitivity, and saturation. Therefore, the …
absorption, transmission errors, sensor sensitivity, and saturation. Therefore, the …
Improved Dimensionality Reduction of various Datasets using Novel Multiplicative Factoring Principal Component Analysis (MPCA)
CE Ogbuanya - arXiv preprint arXiv:2009.12179, 2020 - arxiv.org
Principal Component Analysis (PCA) is known to be the most widely applied dimensionality
reduction approach. A lot of improvements have been done on the traditional PCA, in order …
reduction approach. A lot of improvements have been done on the traditional PCA, in order …
[引用][C] DETECTING THE SPREAD OF ONLINE FAKE NEWS USING NATURAL LANGUAGE PROCESSING AND BOOSTING
N Haridas