A novel SVM modeling approach for highly imbalanced and overlapping classification
Traditional classification algorithms can be limited in their performance on highly
imbalanced and overlapping data sets, In this paper, we focus on modifying support vector …
imbalanced and overlapping data sets, In this paper, we focus on modifying support vector …
On splitting dataset: Boosting locally adaptive regression kernels for car localization
In this paper, we study the impact of learning an Adaboost classifier with small sample set
(ie, with fewer training examples). In particular, we make use of car localization as an …
(ie, with fewer training examples). In particular, we make use of car localization as an …