An enhanced KNN-based twin support vector machine with stable learning rules
Among the extensions of twin support vector machine (TSVM), some scholars have utilized
K-nearest neighbor (KNN) graph to enhance TSVM's classification accuracy. However …
K-nearest neighbor (KNN) graph to enhance TSVM's classification accuracy. However …
Maximum Margin Minimum Variance Twin Support Vector Machine
Traditional Support Vector Machine (SVM) based algorithms seek to distinguish two classes
by maximizing the margin between two classes without taking into consideration their class …
by maximizing the margin between two classes without taking into consideration their class …
Applications Based on TWSVM
Jayadeva, R Khemchandani, S Chandra… - Twin Support Vector …, 2017 - Springer
TWSVM and its variants have been widely discussed in earlier chapters. In this chapter, we
tend to discuss the applications where the special properties of TWSVMs have been used …
tend to discuss the applications where the special properties of TWSVMs have been used …
[PDF][PDF] Motion Recognition based on Sparse Representation and 3D Spatial–temporal Feature
The emergence of a large number of databases for capturing 3D human motions has made
the efficient analysis and processing of human motion data to effectively use these …
the efficient analysis and processing of human motion data to effectively use these …