This was where language, face recognition and memory were mainly based.
这里主要是控制语言、人脸识别、以及记忆的区域。
The researchers controlled for differences in vision, general object recognition and memory.
研究人员通过控制实验，测试他们在视觉、总体物体识别和记忆上的差别。
And scores weresignificantly more matched betweenidentical as opposed to fraternaltwins. The researchers controlled fordifferences in vision, generalobject recognition and memory.
而单卵双胞胎间的得分明显地比异卵双胞胎的接近.研究人员对比实验了视觉和一般物体的辨认和记忆能力上的不同.
The main advantages of this method is operation simple and save memory, so that it may have higher speed and accuracy for speech recognition.
这种方法的主要优点是运算简单，节省内存单元，从而可以提高话音识别的速度和精度。
Germine, Duchaine, and Nakayama used the web-based Cambridge face Memory test to test recognition of computer-generated faces among some 44, 000 volunteers ages 10 to 70.
觉民，杜查纳和中山通过基于网络的剑桥脸部记忆测试，测试志愿者辨认电脑生成脸部的能力。参与测试的志愿者有四万四千名，年龄在十到七十岁之间。
McKenzie said that by age 40, most people perform less well at memory tests, pattern recognition and mental agility exercises.
麦肯齐表示，到40岁的时候，大多数人在记忆力测试，模式识别和心理敏捷性练习当中都会表现得要差一些。
McKenzie said that by age 40, most people perform less well at memory tests, pattern recognition and mental agility exercises.
到了40岁，大部分人在记忆力测试、模式认知和心理敏捷性练习中的表现都欠佳。
Chapter four analyzes the memory process of recognition, retention and retrieval of information according to the classification of memories in the psychology.
第四章根据心理学对人类记忆的分类，对口译记忆中的辨认，信息保持和信息提取过程进行尝试的描述。
Biological Immune is a highly complexity and self-adaptive system with capability of learning, memory acquisition, pattern recognition and so on.
生物免疫是一个高度复杂的自适应系统，具有学习、记忆和模式识别的能力。
International studies for animal social recognition behavior have made it a start elucidating animal learn and memory neurobiology mechanisms.
在国际上，对动物社会识别行为的研究已成为揭示动物学习和记忆的神经生物学机制的一个起点。
To experience is to recognise, and recognition is memory and association.
经历是认知，而认知是记忆和联结。
This paper reviews the study and application of metalloporphyrins in molecular electronics, such as molecular memory, molecular recognition, picture sensors, biosensors and chemical sensors.
综述了金属卟啉在分子电子学，如分子存储、分子识别、图象传感、生物传感和化学传感等方面的研究及应用。
Artificial Immune Network Memory Classifier(AINMC)and Artificial Immune Recognition System(AIRS)are two kinds of classifier based on artificial immune systems.
人工免疫网络记忆分类器和人工免疫识别系统是两种人工免疫分类方法。
In Mandarin speech recognition, this model shows a better performance and requires less memory space than the word based trigram model.
在汉语普通话连续音识别中，这个词义模型的性能优于基于词的三元文法模型，并且需要较小的存储空间。
Topics include: perception, attention, working memory, recognition and recall, language, and other issues in cognitive science.
主题包括：感知、注意、工作记忆、认知和回忆、语言，和其他认知科学的主题。
Compared with the whole attitude Angle matching recognition methods, the proposed method need small memory space and small calculation time.
与一维距离像全姿态角匹配识别方法比较，具有计算量、存贮量较小的特点。
The moving window display technique and recognition probe technique were used to investigate the instantaneous accessibility of goal-based information in long-term memory.
采用移动窗口技术和探测词再认技术，探讨文本阅读过程中长时记忆中目标信息的即时性通达。
The force choice recognition task was used to investigate the context effect and position specificity on visual memory for objects.
本研究采用迫选的再认任务对物体视觉记忆的背景效应及其位置特效性进行考察。
The class of networks has wide applications in many fields such as pattern recognition, associative memory and artificial intelligence. Such model caused much attention of researchers.
由于这类神经网络能存储双极向量对，并在模式识别、联想记忆、人工智能等方面有广泛应用，对这类模型的研究引起很多学者的关注。
Electrical stimulation of the brain may improve memory and recognition in elderly people who suffer from Alzheimer's disease, results of a study hint.
一项研究的结果提示，电刺激脑可改善阿尔茨海默病老年患者的记忆和认知的功能。
McKenzie said that by age 40, most people perform less well at memory tests, pattern recognition and mental agility exercises.
麦肯齐教授表示，到40岁的时候，大部分人的记忆测试、图像认知以及大脑灵活性都表现的更差。
And the system code optimization, memory optimization, makes the LPR system based on DSP chip to run more efficient and faster recognition speed.
并对该系统进行代码优化、存储器优化等，使得DSP车牌识别软件运行效率更高、识别速度更快。
To solve the problem of real time and limit memory space in sonar image recognition system, the dominant gray method to extract and recognize image information is proposed.
针对声纳图像识别系统实时性要求高、存储空间小的特点，提出一种基于主灰度的提取和识别方法，从而降低了特征维数，提高了声纳图像的识别效率。
The research focused on explicit memory before, such as recall, recognition and so on.
这一研究以前主要集中在外显记忆方面，比如回忆和再认等。
The experiment result reveals to be with high recognition rate, real-time, and with little memory consumption, so this system is an effective hardware realization.
实验结果表明系统具有识别精度高、识别速度快等特点，是一种有效的说话人自动识别的硬件实现方法。
The experiment result reveals to be with high recognition rate, real-time, and with little memory consumption, so this system is an effective hardware realization.
实验结果表明系统具有识别精度高、识别速度快等特点，是一种有效的说话人自动识别的硬件实现方法。
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