文中提出一种基于局部复杂度视频序列中显著点的提取方法。
Salient point extraction is an important research issue in content-based video analysis.
但是从局部看来，一个形式完好的模型肯定能有助于控制复杂度。
But from a local viewpoint a well-formed model will surely help in getting a grip on complexity.
由于其计算复杂度远远超过了局部光照计算，传统上全局光照明模拟难以同时获得实时的绘制效率和逼真的效果。
As its calculation complexity is far more than that of local illumination, there has been yet few satisfying solution which achieves high quality and performance simultaneously.
聚类方式的改进不仅增加了算法的局部寻优能力，有效地减少了计算的复杂度，而且还具备一定的野值剔除能力。
The improvement of clustering can strengthen the algorithms local optimization capability and reduce the computation complexity considerably while eliminating some outliers.
和Hopfield模型不同的是 ，这种神经网络增加了一个隐含层来扩大网络的存储容量 ，并采用局部相连的拓扑结构来代替全相连 ，从而减少了计算复杂度 。
And the structure of this model takes the form of local-connection instead of full-connection in order to reduce the complexity of computation.
针对上述情况，提出了通过局部空间变换的方法，简化直线段之间的求交过程，且在一定程度上可降低算法的复杂度，提高算法的效率。
Our study established a method called "Local space transform", can simplify the procession of intersection between line segments, improve the efficiency and decrease the complicacy.
局部线性嵌入(LLE)算法是有效的非线性降维方法，时间复杂度低并具有强的流形表达能力。
The Locaally linear Embedding (LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.
局部线性嵌入(LLE)算法是有效的非线性降维方法，时间复杂度低并具有强的流形表达能力。
The Locaally linear Embedding (LLE) algorithm is an effective technique for nonlinear dimensionality reduction of high-dimensional data.
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