搜索结果: 1-8 共查到“人工智能 Extraction”相关记录8条 . 查询时间(0.141 秒)
Semantic Information Extraction for Improved Word Embeddings
Semantic Information Extraction Improved Word Embeddings
2016/1/22
Word embeddings have recently proven useful in a number of different applications that deal with natural language. Such embeddings suc-cinctly reflect semantic similarities between words based on thei...
Lights, Camera, Action: Knowledge Extraction from Movie Scripts
Activity Knowledge Commonsense Knowledge Acquisition
2016/1/22
With the success of large knowledge graphs, research on automat-ically acquiring commonsense knowledge is revived. One kind of knowledge that has not received attention is that of human activi-ties. T...
Beyond information extraction:The role of ontology in military report processing
ontology information extraction military report ontological process information visualization
2015/7/30
Information extraction tools like SMES transform natural language into formal representation, e.g. into feature structures. Doing so, these tools exploit and apply linguistic knowledge about the synta...
Information Extraction (IE) is the name given to any process which selectively structures and combines data which is found, explicitly stated or implied, in one or more texts. The final output of the ...
基于改进Harris角点提取的摄像机神经网络标定技术（Neural Network Technique on Camera Calibration Based on Improved Harris Corner Extraction Method）
摄像机标定 神经网络 Harris角点
2009/9/11
以前馈型BP神经网络进行双目立体视觉系统的摄像机标定研究，基于Harris角点提取，提出了增加约束的改进方法，从而提高网络训练样本集的数据精度；探讨了神经网络的欠泛化、过泛化问题，综合运用归一化、提前终止等多种策略，进一步提高网络泛化能力，并与经典标定方法进行对比。试验结果表明，该方法能够获得较高的摄像机标定精度。
Extraction and Recognition of Nonlinear Interval-Type Features Using Symbolic KDA Algorithm with Application to Face Recognition
Nonlinear Interval-Type Features Symbolic KDA Algorithm Face Recognition
2009/9/4
We present symbolic kernel discriminant analysis (symbolic KDA) for face recognition in the framework of symbolic data analysis. Classical KDA extracts features, which are single-valued in nature to r...
Translation rule extraction is a fundamental problem in machine translation, especially for linguistically syntax-based systems that need parse trees from either or both sides of the bi-text. The curr...
A NOVEL FEATURE EXTRACTION METHOD FOR ISOLATED WORD RECOGNITION BASED ON NESTED TEMPORAL AVERAGING
Speech recognition Pattern classification Neural Networks Support Vector Machines
2006/1/12
A novel preprocessing method is proposed. It has a reduced complexity and therefore is aimed to be used in low power, VLSI implemented, speech recognizers. Our algorithm extracts a feature vector made...