Using sophisticated pattern recognition algorithms, JSLSCAD detects, classifies, and identifies chemical agents while discriminating against both natural and manmade battle space interferents.
JSLSCAD利用复杂的模式识别算法，可以探测、分类、鉴定化学战剂，同时还可以识别自然的和人造的战场干扰物。
Face recognition is essentially a typical small-sample pattern recognition problem in sparse hyper-high dimensional space.
人脸识别实质是稀疏超高维空间、典型的小样本模式识别问题。
Focus on this problem, a detection method of space small targets is presented based on moment invariant which is a concept of pattern recognition.
针对该问题，引入模式识别中的不变矩概念，提出基于不变矩的空间小目标检测方法。
In this article, it has been pointed out that the pattern recognition is the representation transformation in pattern space.
本文指出，图形识别实质上是图形空间中的表象变换（坐标系变换）。
Based on their method, we suggest a new filter design for space-invariant and rotation-invariant in a given Angle range pattern recognition system.
本文在他们的基础上提出一种实现空间平移不变和在一定的角度范围内转动不变的特征识别方法，给出相应的滤波器设计具体公式。
Based on their method, we suggest a new filter design for space-invariant and rotation-invariant in a given Angle range pattern recognition system.
本文在他们的基础上提出一种实现空间平移不变和在一定的角度范围内转动不变的特征识别方法，给出相应的滤波器设计具体公式。
应用推荐