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Thus far, a variety of techniques for recommending music have been proposed, but few attempts have been made to generate a playlist from music collections owned by multiple users. When situations where multiple people together, they often play background music (BGM) stored in individual devices owned by one or more users. However, because one user typically selects the music from a personal device,...
A grand challenge in knowledge representation is building the intelligent systems for Science Technology Engineering and Math (STEM) Education. In math education, the intelligent problem solver (IPS) must have sufficient knowledge to solve problems automatically, and their solutions are natural, step-by-step and can be understand by the learners. Besides that, Solid geometry is a hardly subject of...
Knowledge representation models and automated reasoning algorithms are most important problems in designing knowledge base systems in artificial intelligence, especially in intelligence problem solver (IPS). One of effective models is the COKB (Computational Objects Knowledge Base model), which can be used to represent and to design the knowledge-base of practical intelligent systems. Nevertheless,...
Opinion mining and sentiment analysis has recently become a hot topic in the field of natural language processing and text mining. This paper addresses the problem of overall rating for comments in Vietnamese language. The traditional approach of using bag-of-words for feature representation would cause a very high dimensional feature space and doesn't reflect relationship between words. To capture...
In recent years, dependency parsing is a fascinating research topic and has a lot of applications in natural language processing. In this paper, we present an effective approach to improve dependency parsing by utilizing supertag features. We performed experiments with the transition-based dependency parsing approach because it can take advantage of rich features. Empirical evaluation on Vietnamese...
Geographically Weighted Regression (GWR) is a local version of spatial regression that captures spatial dependency in regression analysis. GWR has many application in practice as a visualization and prediction tool for spatial exploration (e.g in climate, economy, medical). However, this locally regression model is slow in process upon the volume of calculations and the spatial getting bigger. Improving...
Nowadays there are numerous user-generated restaurant reviews available on the Internet, of which they are considered valuable resources for decision making to customers. In reality, not every reviews available online are helpful to users, so the need for filtering unqualified reviews is realized. There have been several studies on spam review detection that attempt to detect unqualified reviews using...
Quantum neural networks (QNNs) have been explored as one of the best approach for improving the computational efficiency of neural networks. Because of the powerful and fantastic performance of quantum computation, some researchers have begun considering the implications of quantum computation on the field of artificial neural networks (ANNs).The purpose of this paper is to introduce an application...
Over the past decade, Content-Based Image Retrieval (CBIR) has been an active research approach to retrieve images based on their visual contents such as color, texture and shape. Image indexing is an important task to ensure the efficiency of CBIR systems. In this paper, we present a new stochastic clustering algorithm which allows automatic image indexing and quick neighbor search of similar images...
Open Data now provides access to updated data dedicated to urban development. The traditional approach of using production data for decision on land management needs to be rethought in the light of these new opportunities and should therefore addressed towards dynamic management of geographic information. Institutional sites such as INSEE semantically annotate their data facilitating the discovery...
The Japanese government has promoted dissemination of Japanese legal information to the world, and has released translations of Japanese statutes and a bilingual dictionary for statutory terms. However, these translations are lacking in number. The bilingual dictionary, which contains only 3,782 entries, is the subject of our paper. To expand it, we focused on the Japanese Official Gazette, English...
Karaoke is a popular amusement, but people do not necessarily enjoy karaoke when they are not singing. It is better that non-singing people engage in karaoke to enliven it, but this is not always easy specially if they do not know the song. Here, we focus on the tambourine, which is provided in most karaoke spaces in Japan but is rarely used. We proposed a tambourine support system to enliven karaoke...
This study proposes a system that allows for the quantitative creation of music using a few parameters identified to be relevant to the association between music and emotion. One proposed emotional model of music suggests that musical emotion depends on a realization of and a deviation from an expectation. Expectations and their realizations and deviations are regarded as effects of probabilities,...
In GTTM, “Cadential Retention” grants the egg symbol to combine into one cadence (V-I). However, criteria for the cadential retention are ambiguous. In this paper, we propose a harmonic theory that the chord symbol has been limited on the basis of the musical scale, and formulate a cadence finding algorithm by adapting to the TPS theory. As a result, the candidate of the chord having a function of...
This paper proposes neural networks approaches to recognize logical parts in Vietnamese legal documents. We utilize four models based on recurrent neural networks including Long Short Term Memory (LSTM), Bidirectional LSTM and their combination with Conditional Random Fields. The experimental results on the Vietnamese Business Law data set shows the promising of this approach. Although, these approaches...
This paper deals with a new time-dependent model of public transportation system in the urban context that allows sharing a taxi between a passenger and parcels with speed widows consideration. We solve a realistic dynamic scenario in which requests are accepted or declined at the time of their calls. We classify vehicle speeds by different time windows during a day. Different speed windows induce...
Early detection of abnormality in image of skin is now considered the crucial contributor for successful treatment. We explored how constructing a sparse neighborhood net of pixels and distinction of patches in the image feature analysis play a role for diagnostic ability of lesion segmentation. Since image patches are considered like circumstance of many factors including skin tone, skin aberrations...
Hiding High Utility Sequential Patterns (HUSPs) is the task of finding the ways how to hide high utility sequential patterns appearing in sequence databases so that the adversaries cannot discover them after hiding. It has become an important research topic in recent years and has been applied in various domains such as business, marketing, stock, health and security, etc. However, few methods have...
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