Classification in Cryo-Electron Tomograms.
Ilja GubinsGijs van der SchotRemco C. VeltkampFriedrich FörsterXuefeng DuXiangrui ZengZhenxi ZhuLufan ChangMin XuEmmanuel MoebelAntonio Martínez-SánchezCharles KervrannTuan Manh LaiXusi HanGenki TerashiDaisuke KiharaBenjamin A. HimesXiaohua WanJingrong ZhangShan GaoYu HaoZhilong LvXiaohua WanZhidong YangZijun DingXuefeng CuiFa ZhangPublished in: 3DOR@Eurographics (2019)
Keyphrases
- classification accuracy
- classification method
- text classification
- support vector machine svm
- classification algorithm
- automatic classification
- data sets
- object classification
- classification scheme
- support vector
- pattern classification
- supervised learning
- decision trees
- accuracy rate
- classification models
- classification rules
- accurate classification
- benchmark datasets
- unsupervised learning
- database
- image classification
- pattern recognition
- naive bayes
- machine learning algorithms
- text mining
- nearest neighbor
- support vector machine
- cost sensitive
- data points
- feature vectors
- training set
- classification process
- case study
- machine learning
- correct classification