搜索结果: 1-15 共查到“计算机科学技术 EXTRACTION”相关记录19条 . 查询时间(0.328 秒)
With the rapid improvement of LIDAR systems regarding point density and accuracy in relation to the (application dependent)
requirements, robustness, efficiency and automation of the modeling process...
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...
Extraction of Buildings in Brasilian Urban Environments Using High Resolution Remote Sensing Imagery and Laser Scanner Data
Laser scanner Quickbird Classification.
2015/7/7
The paper describes the resulst of recent experiments of a project that deals with the combined use of high resolution satellite
images, Quickbrid, and laser scanner data to analyse urban images. The...
The reconstruction of 3D city models has matured to the point where large data sets are now available. As most of the data collection
methods used are based on airborne sensors like e.g. aerial laser...
Entity-based Enrichment for Information Extraction and Retrieval
Information Retrieval Information Extraction Search Search Engines Knowledge Base
2014/12/18
The goal of this work is to leverage cross-document entity relationships for improved understanding of queries and documents. We define an entity to be a thing or concept that exists in the world, suc...
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 ...
Automatic knowledge extraction for filling in biography forms from Turkish texts
Information extraction regular expression biography form generation natural language processing
2011/3/22
This study presents a method for building an automatic knowledge extraction system for filling in biography forms from Turkish texts. Several biographies are analyzed in order to choose the set of bio...
Concurrent Knowledge Extraction in the Public-Key Model
Concurrent Knowledge Extraction Public-Key Model
2012/11/30
Knowledge extraction is a fundamental notion, modeling machine possession of values (witnesses) in a computational complexity sense and enabling one to argue about the internal state of a party in a p...
Text Extraction in Complex Color Document Images for Enhanced Readability
Color Document Image Complex Background Connected Component Analysis Segmentation of Text Texture Analysis Unsupervised Thresholding OCR
2013/1/28
Often we encounter documents with text printed on complex color background. Readability of textual contents in such documents is very poor due to complexity of the background and mix up of color(s) of...
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...
A Two-Stage Approach to Highlight Extraction in Sports Video by Using AdaBoost and Multi-modal
Highlight extraction AdaBoost feature selection audio classification Linear Weighted Model
2013/7/17
In this paper, we propose a novel two-stage approach for highlight extraction in sports video. In the first stage, a preliminary classification is performed to the audio stream to locate the position ...
A Robust Feature Extraction Algorithm for Audio Fingerprinting
Audio fingerprinting weighted ASF Audio Spectrum Flatness filter bank inverse filter
2013/7/17
In this paper, we present a new feature extraction algorithm which can generate robust and reliable feature in a fingerprint system. This algorithm is referred to as weighted ASF (WASF). The feature...