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In this paper, we give two direct centroid computation methods for fuzzy numbers: One is to use the membership function and the other is to use the alpha-cuts. Compared with the current centroid computation methods, the new methods are simple both in expression and computation. Weighted samples computation method are also proposed to improve the computational accuracy with numerical integration technique...
This paper discusses the influence factors of detector spacing optimization. Through the corresponding mathematical conversion, it gets the model parameters which influence the result of detector spacing optimization. IDF (Information Degree Function) is proposed to describe the spatial distribution characteristics of traffic information. Then, this paper gives the calibration method of the model...
The prediction of the traffic flow can give the people important traveling information. In this paper, the traffic flow prediction problem is studied. An ARIMA model is proposed for the traffic flow prediction. The ARIMA model is trained according to the different period traffic data. Based on the different period data training, the ARIMA model is refined more accuracy. The experiments show that the...
The prediction of the traffic state can give the people the important traveling information. In this paper, the traffic state prediction problem is studied. A maximum entropy(ME) approach is proposed for the traffic state prediction, which consider the prediction process as a classification problem instead of predicting the traffic flow parameters. The traffic state is defined as six classes according...
In many applications, one has to actively select among a set of expensive observations before making an informed decision. In this paper, we describe a hybrid of a simple artificial intelligence algorithm and a method based on class separability applied to the selection of feature subsets for classification problems. The method allows an expert to discover informative features for separation of normal...
The Query-by-Humming (QBH) system allows users to retrieve songs by singing/humming. In this paper we propose a phrase-level piecewise linear scaling algorithm for melody match. Musical phrase boundaries are predicted for the query to split it to phrases. The boundaries of melody fragment corresponding to each phrase are allowed for adjusting in a limited scope. The algorithm employs Dynamic Programming...
To achieve a good balance between matching accuracy and computation efficiency is a key challenge for query-by-humming (QBH) system. In this paper, we propose an approach of n-gram based fast match. Our n-gram method uses a robust statistical note transcription as well as error compensation method based on the analysis of frequent transcription errors. The effectiveness of our approach has been evaluated...
In this paper, we explore an approach to improved confidence measures based on a novel alignment confusion rate (ACR) which integrates alignment information from two different modeling unit sets in Chinese digits recognition system. Both initial-final (IF) phone set and head-body-tail (HBT) models have proven to obtain good recognition performance for connected digit strings. These two different modeling...
Image registration is an important task in the field of computer vision and pattern recognition. And the applied values is also reflected in the study of remote sensing, medical imaging and the object indentifying of multi-sensor fusion. In this paper, a new subpixel registration methods which based on wavelet analysis was proposed by improving polynomial subdivision algorithm and pixel level registration...
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