Fraz等人【l 3】提出采用梯度向量场(gradient vector field) 的方向分析,形态学变换,线性强度评估(1ine strength measures)和Gabor滤波响应 构成特征向量,然后使用基于决策树的集成分类...
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The problem is not every vector field is a gradient.
问题是,不是所有向量场都是梯度。
Well, we've seen this criterion that if a curl of the vector field is zero and it's defined in the entire plane, then the vector field is conservative, and it's a gradient field.
我们已经知道了一个准则,如果向量场的旋度为零,而且它在整个平面上有定义,那么这个向量场是保守的,而且它是个梯度场。
Well, actually here it is not very hard to find a function whose gradient is this vector field.
实际上,找出一个函数,其梯度是这个向量场并不难。
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