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With the continuous development of society and the improvement of Internet technology, people are getting more and more dissatisfied with the current exploration of unknown world, and increasingly rigorous on the search engine requirements. As a result, semantic search technology came into being. This article mainly through the knowledge graph and semantic search technology to understand the function...
With the rapid development of the Internet, social networking platforms and mobile technologies, people are increasingly in contact with the Internet and share their views with others on the Internet. The content that people care about and talk about every day is a hot topic, hot topics can play an important role in politics, economy, culture and other fields, so the research on hot topics has a great...
With the rapid development of Internet, we have entered an era of information explosion, there is a lot of redundant information in the Network. How to extract a useful part of this information from the massive information resources, analyzing the vast amount of information and finally get the potential knowledge we want to extract. Web mining technology came into being, and saved out the human from...
In this paper, we propose an algorithm for missing value recovery of visual data such as image or video. These missing values may result from the corruption in acquisition process, or user-specified unexpected outliers. This problem exists in wide range of applications. We use the nuclear norm (NN) regularization to enforce the global consistency of the image, while the total variation (TV) regularization...
The definition of the similarity measure is an essential component in image registration. In this paper, we propose a novel similarity measure for registration of two or more images. The proposed method is motivated by that the optimally registered images can be deeply sparsified in the gradient domain and frequency domain, with the separation of a sparse tensor of errors. One of the key advantages...
In many real-world applications of image registration, the images have significantly different appearances due to the intensity variations. Many existing intensity based methods may fail to solve these challenging problems. In this paper, we propose a novel method based on the differential total variation (DTV) for image registration. It is inspired by the fact that the image gradients are much more...
For the limited availability of established Mongolian named entity dictionary, with the increase of the new terminology and network vocabulary, Mongolian named entity dictionary was not able to update in time. This paper puts forward a method of named entity recognition, which based on a combination of multiple features and CRF. The method of named entity recognition proposed in this paper firstly...
Research in the field of WSD has been conducted in computational linguistics as a specific task for many years. Language and context features have been shown to be very helpful for the task of word sense disambiguation. In this paper, we investigate the effectiveness of the graph-based ranking method on features from limited language data of word sense disambiguation. Contrary to existing method,...
In this paper, we present an efficient and robust image representation method that can handle misalignment, occlusion and big noises with lower computational cost. It is motivated by the sub-selection technique, which uses partial observations to efficiently approximate the original high dimensional problems. While it is very efficient, their method can not handle many real problems in practical applications,...
In this paper, we propose a novel method for image fusion from a high resolution panchromatic image and a low resolution multispectral image at the same geographical location. Different from previous methods, we do not make any assumption about the upsampled multispectral image, but only assume that the fused image after downsampling should be close to the original multispectral image. This is a severely...
We demonstrated a digitized atomic clock which is based on the transient oscillation of detuned coherent population trapping (DCPT). In the Λ structure atomic states system, the DCPT oscillation frequency exactly equals the absolute value of the frequency difference between the two pump laser fields minus the two ground states hyperfine splitting frequency. This DCPT atomic clock obtains the standard...
We proposes a method for measuring the transient oscillation frequency observed when Coherent Population Trapping is excited by means of optical pumping radiation fields whose frequency difference is detuned slightly from the ground state hyperfine frequency of the atom used. Using narrow-band simulation filter and phase matching techniques this measuring method can provides a measurement precision...
In this paper, we propose a new method to reduce the temperature sensitivity of Chip Scale Atomic Clocks. We studied the relationship between RF power and the light shift as well as the relationship between the temperature and the collision shift, and the results are given. It is shown that the frequency shift caused by the change of the temperature can be compensated by the variation of light shift...
The abstract presents a fully functional Ramsey-CPT atomic clock, which has the characteristics of compact structure, small volume, low cost, strong adaptability, high stability, convenient for adjustment, unique design, and easy-to-commercialization. The Ramsey-CPT atomic clock combines the method of separated oscillatory fields and the phenomenon of coherent population trapping, so as to obtain...
In this paper, we analyze the background of semantic web services firstly. Then we classify the services into two types: one is information acquiring services, the other is action services. According to the information acquiring services, which semantic description is simpler than general services, we propose an automatic service composition approach based on similarity computation between concept...
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