Recognition for the coding region of DNA sequences is the premise of t cell epitopes identification.
准确地识别出DNA序列的蛋白质编码区是开展T细胞表位筛选工作的前提。
The Adaptive Time-delay Neural Network (ATNN) based on exo-atmospheric space point target IR radiation sequences is proposed in order to improve the recognition rate.
为提高目标的正确识别率，提出一种基于空间点目标红外辐射序列的自适应时延神经网络(atnn)识别方法。
The research of this article mainly focuses on the recognition algorithm based on gait image sequences and the fusion method to consider the vision-based information and tactility-based information.
本文工作主要集中于基于图像序列的步态识别算法研究和步态视觉信息与步态触觉信息融合算法研究。
Finally, gait recognition is performed by comparing DTW distance of testing sequences with predetermined threshold.
最后，输入测试序列，计算动态时间规整距离并与阈值比较，识别人体的步态。
Knowledge about digital image processing and pattern recognition is applied to do image preprocessing and face recognition about video image sequences.
首先尝试运用数字图像处理与模式识别领域的知识对于视频图像序列进行图像预处理与人脸识别。
Gait recognition, the second biometrics identification technology based on motion vision, is used to signify the identity of individuals in image sequences 'by the way they walk '.
步态识别，非接触式远距离的身份识别研究——基于运动视觉的第二代生物特征识别技术，是根据拍摄的行走视频，通过人体走路的方式辨别人体身份。
Much attention is paid to petrologic recognition marks and distribution regulation of volcanic event strata in coal bearing sequences of Taiyuan formation in the middle of North China.
研究了华北中部太原组含煤地层中火山事件层的岩石学识别标志和分布规律。
This method proved to be highly accurate in predicting the tumor-specific promoters, with recognition rates of over 90% of the training sequences and over 80% of the testing sequences.
结论该方法具有较高的准确性，在保证对训练集合90%以上的识别率的情况下，对测试集合的识别率达到80%以上。
It makes use of the results worked out by correlated action sequences. The new algorithm improves the accuracy of plan recognition.
该算法的提出增强了规划识别的准确度，在入侵检测、网络安全等方面有着很好的应用前景。
Focusing on the application of intelligent surveillance, this paper proposed a new approach in which the combination of face and gait was used for human recognition at a distance in video sequences.
提出了一种将脸部和步态特征相结合，应用于智能监控系统进行远距离视频流中身份识别的新方法。
At last, maximum entropy markov model is used to model the gait sequences of each people and implements recognition based on probability graph.
最后使用最大熵马尔可夫模型对各个人的步态进行建模，完成了基于概率图的识别。
The recognition rate is still good for these unideal outdoor image sequences.
在步态数据库不很理想的情况下也获得了较好的识别率。
The recognition rate is still good for these unideal outdoor image sequences.
在步态数据库不很理想的情况下也获得了较好的识别率。
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