3GCNA产品组合是QLogic的Adaptive Convergence(自适应融合)™战略的第一个实例。这一战略立足于该公司最近成功推出的flex端口以及4项关键、灵活和有利于业务的I/O互连功能：
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In the framework of the particle filter, a tracking method based on adaptive integration of color cue and corner cue was proposed.
在粒子滤波的框架下,提出了一种自适应融合颜色线索和角点线索的跟踪方法。
参考来源 - 智能视频监控中的运动目标检测和跟踪技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
并将两种特征模型进行线性融合，得到最终的目标表征模型，其中的融合系数由特征似然图对比度自适应确定。
The final target representation model was obtained by means of linear fusing the two feature models, and the fusion coefficient was determined adaptively by contrast ratio of feature likelihood map.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题，提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
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