As the parametric representation of primitives is lowdimensional, the integration of primitives and state-based recognition algorithms helps realize some more complex recognition models.
由于基元特征参数的维数低,因此,它与基于状态的各种识别方法相结合有利于实现更复杂识别方法。
2
A large number of researches have shown that the lowdimensional semiconductor materials are one of the ideal nonlinear optical materials.
大量研究均表明可以人工合成的低维半导体材料是非常理想的非线性光学材料之一。
3
This also provide a way of deducing lowdimensional systems which can be solved by GMLVSA from high dimensional systems.