Outlier mining of a vision sensing databasefor SVM regression improvement.
Wendy Flores-FuentesDaniel Hernandez BalbuenaJulio C. Rodríguez-QuiñonezDaniel Olivas-UgaldeFélix Fernando González-NavarroOleg SergiyenkoMoises Rivas-LópezFabian Natanael Murrieta-RicoVladimir M. KartashovPublished in: IECON (2015)
Keyphrases
- support vector
- outlier mining
- support vector machine svm
- support vector machine
- real time
- feature selection
- computer vision
- vision system
- outlier detection
- regression model
- regression problems
- support vector regression
- knn
- intrusion detection
- multi class
- regression method
- svm classifier
- linear regression
- support vector machines for classification
- model selection
- relevance vector machine
- sensor networks
- kernel methods
- hyperplane
- training data
- support vectors
- kernel function
- classification and regression problems
- standard svm
- feature space
- training set
- feature vectors
- video sequences
- reproducing kernel hilbert space
- data mining
- least squares
- kernel ridge regression
- databases