As for the ramp engineering, the author put forward the difference incremental algorithms for the planar graph gradients.
针对斜坡道工程，提出平面图形梯度差值生长构建算法；
Incremental algorithm is one of the major algorithms for raising learning efficiency.
增量算法是提高学习效率的一个重要算法之一。
In order to extend common incremental learning algorithms into a parallel computation setting, an incremental learning algorithm with multiple support vector machine classifiers is proposed.
为了将一般增量学习算法扩展到并行计算环境中，提出一种基于多支持向量机分类器的增量学习算法。
This paper firstly introduces the classification of incremental clustering algorithms and the research state, defines the concept of algorithm equivalence.
本文首先介绍了增量聚类算法的分类以及研究现状，提出了增量聚类算法等价性概念；
But previous incremental update algorithms may be inefficient or cannot accomplish data update tasks when the wireless bandwidth drops dramatically.
但是，以前的增量更新算法在无线带宽急剧下降的情况下，会引起数据更新的效率下降或无法完成任务。
In this paper, the improved attitude algorithms are developed using both angular rate and incremental angular signals, and the coning errors of the algorithms are given.
因此，同时利用角速率及角增量信号，优化设计出一类新的旋转矢量姿态算法，给出了算法的圆锥误差表达式，并进行了仿真分析。
Of all the incremental mining algorithms, the IUS is the most advanced at present.
在序列模式的增量式挖掘算法中，IUS算法是目前最为先进的算法。
The model simplification algorithms can be divided into four main categories: vertex clustering, incremental simplification, the sampling algorithm and adaptive subdivision.
根据简化算法的简化方式可将其分为四大类：顶点聚类算法、增量式简化算法、采样算法和自适应细分算法。
This paper proposes computational optimization method based on the incremental computation of the SSD and NCC algorithms for the stereo matching.
论文针对图像匹配计算中的SSD和NCC算法提出一种基于递推增量计算的改进算法。
This paper research a data mining system based on incremental updating algorithms of rough set theory.
本文主要研究基于粗集的增量算法的数据挖掘系统。
Convergence of the wavelet-like incremental unknowns method is proved when applied in the inertial manifold multigrid algorithms(IMG)or nonlinear Galerkin methods.
当应用于惯性流形多网格算法和非线性伽略金方法时，可证明类小波增量未知元方法的收敛性。
Convergence of the wavelet-like incremental unknowns method is proved when applied in the inertial manifold multigrid algorithms(IMG)or nonlinear Galerkin methods.
当应用于惯性流形多网格算法和非线性伽略金方法时，可证明类小波增量未知元方法的收敛性。
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