Thresholding-based outlier detection for high-dimensional data
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2018.1452238
Abstract: ABSTRACT Traditional outlier detection methods such as the minimum volume ellipsoid method and MCD method are all based on normal distance. As is well known, the norm-based distance is only effective in detecting difference with… read more here.
Keywords: detection; based outlier; method; thresholding based ... See more keywords
A Multi-Thresholding-Based Discriminative Neural Classifier for Detection of Retinoblastoma Using CNN Models
Sign Up to like & getrecommendations! Published in 2023 at "BioMed Research International"
DOI: 10.1155/2023/5803661
Abstract: Cancer is one of the vital diseases which lead to the uncontrollable growth of the cell, and it affects the body tissue. A type of cancer that affects the children below five years and adults… read more here.
Keywords: retinoblastoma; based discriminative; discriminative neural; region ... See more keywords