本文提出了舰船目标吨位识别的四维特征向量，设计出完整的二叉树分类器。
This paper gives characteristic vectors of four dimensions for target tonnage identification and design of binary tree classifiers pattern recognition.
短线、勾、斜线或叉不会被机器识别。
Short lines, ticks, oblique strokes, or crosses will not be read by the machine.
当我们考虑一种更具体的二叉树——二叉搜索树时，识别子结点是很重要的。
Identifying the child nodes is important when we consider a more specific type of binary tree-the binary search tree.
提出了一种基于PIDC和二叉决策树s VM的人耳识别方法。
In this paper, we present an ear recognition method using PIDC and binary tree SVM classification.
采用一种层次分解的支持向量机二叉决策树进行分类识别。
A hierarchical decomposed support vector machines binary decision tree is used for classification.
针对数字信号调制模式识别问题，提出了运用高阶累积量和二叉树支持向量机(SVM)进行自动识别的算法。
Applying high order cumulants and support vector machines (SVM), an algorithm is proposed for automatic recognition of digital communication signals.
克服传统二叉分类的缺陷，较大程度地提高可用特征的范围，使得识别特征的选择具有更大的灵活性。
The range and velocity of identification is improved to overcome the limitation of searches of two items.
克服传统二叉分类的缺陷，较大程度地提高可用特征的范围，使得识别特征的选择具有更大的灵活性。
The range and velocity of identification is improved to overcome the limitation of searches of two items.
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