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Tropical Rainfall Measurement Mission (TRMM) is an useful data for different application, whereas the data was less used in monitoring the meteorological drought in arid regions. In this study, we investigated the spatial-temporal process of a meteorological drought event (occurred at middle reach of Heihe River basin from May 2009 to September 2009) use TRMM 3B43 precipitation data product and observed...
To realize exercises of Chinese character writing under unattended operation, a real-time evaluation technology for quality of strokes of handwritten Chinese characters is proposed. Its advantages lie in the fact that it decomposes the features of handwritten strokes into macrocosmic and microcosmic views. Macrocosmically, it can effectively identify various open clerical errors by inspecting topological...
Concave region partitioning is valuable for object modeling and recognition. A key issue to the design of an efficient partitioning method is on the selection of cut points. In this paper, we propose to use imbalanced points in a region to characterize cut points in the contour of the region, motivated by the good corner nature of imbalanced points. Specifically, we formulate a concave region as a...
This paper presents an approach for comparing various feature ranking (FR) methods. First, six classification benchmarks are created using Exhaustive Search (ES) to select the best feature subsets. The subset selections have been done within double (nested) cross-validation procedures guaranteeing realistic accuracy predictions to unseen examples. Next, seven filter FR approaches are compared and...
Imbalance oriented candidate selection was introduced as an alternative of non-maximum suppression, aiming to improve the localization accuracy. To distinguish interest points detected via non-maximum suppression, we call interest points detected via imbalance oriented selection imbalanced points. Scale assignment for imbalanced points is not straightforward because of a dilemma of involving non-maximum...
With the development of spatial information industry, traditional systems that are limited by scalability and reliability cannot well satisfy the huge amount of service need. The cloud computing has advantages of good scalability, high reliability and high availability, which can provide powerful technical support to promote the capability of spatial information service system. This paper proposed...
This paper considers the problem of correlation analysis using correlation coefficient and Random Forest. Although Random Forest is a function estimation algorithm, it provides two extra information about independent variables importance according to dependent one and partial dependence. Thus influencing order of correlative factors comes out. The limitation of correlation coefficient of only two...
Imbalance oriented selection scheme was recently proposed to detect stable image points in weakly or sparsely textured images. The scheme chooses image points whose one-pixel-wide directional intensity variations can be clustered into two imbalanced classes as candidates. In this paper, we propose general imbalance decided by multi-pixel-wide directional intensity variations. We present a case study...
One application of data mining technology is to find the relationship of some product and sell appropriate product to appropriate customer at appropriate time. In order to applying data mining technology to help telecom companies find more cross-selling chances and carry out more available marketing measures to existing customers, an algorithm of quantitative association rule on fuzzy clustering is...
Imbalance oriented selection scheme was recently proposed to select good candidates of interest points [1]. In this paper, we propose a method to quantify the local diversity of imbalance of an image point, which provides us a new interest strength assignment scheme. We test the proposed approach by repeatability evaluation and stereo matching and obtain promising results.
In this paper, a modified method of conventional DS evidence theory is proposed. The consensus index of evidence based on distance measures of evidence is introduced into modifying the BPAs of hypotheses with the evidence sufficiency and evidence importance. By using the Dempsterpsilas combination rule and new decision rules, the different sets of BPAs for each hypothesis are calculated, respectively,...
We propose a new evaluation approach to evaluate the service scalability of network architectures, that aims to study service scalability of network architectures in current Internet architecture and help evaluate designs of next generation Internet (NGI). The key idea is to measure existing network services using the concept of service utility. While service utility indicates whether service deployed...
Recently, Li et al. proposed a new auditory feature for robust speech recognition in noise environments. The new feature was derived by mimicking closely the function of human auditory process. Several filters were used to model the outer ear, middle ear, and cochlea, and the initial filter parameters and shapes were obtained from crude psychoacoustics results, experience, or experiments. Although...
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