Boundary point based local coding is used to partition the data into approximately linearly separable parts, each of which is classified by a linear SVM.

In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBAP) to achieve the efficiency of linear SVM and the power ...

In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBAP) to achieve the efficiency of linear SVM and the power of ...

May 30, 2019 · In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBAP) to achieve the efficiency of linear ...

Locally Linear SVMs Based on Boundary Anchor Points. Encoding. 1 Derivation of the Gradient on vj. Assume that there are m anchor points. Basic function ...

In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBAP) to achieve the efficiency of linear SVM and the power ...

In this paper, we propose a locally linear classifier based on boundary anchor points encoding (LLBAP) to achieve the efficiency of linear SVM and the power ...

Baile Xu, Shaofeng Shen, Furao Shen, Jian Zhao: Locally linear SVMs based on boundary anchor points encoding. Neural Networks 117: 274-284 (2019).

Red and green points correspond to positive and negative samples, black stars correspond to the anchor points and blue lines are obtained decision boundary.

The anchor points are learned in unsupervised fashion either by using a clustering algorithm or solving a locality or sparsity con- strained least squares ...