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Class-imbalance is very common in real data mining tasks. Previous studies focused on binary-class imbalance problem, whereas multi-class imbalance problem is more challenging. Error correcting output codes (ECOC) technique can be applied to class-imbalance problem, however, the standard ECOC aims at maximizing accuracy, ignoring the fact that, when class-imbalance is really a problem, the minority...
As a key indicator of the urbanization level, impervious surface has widely been used as an environmental indicator linking development to its impact on the environment. Many have for example suggested that there is a direct correlation between the amount of impervious surface and the environmental characteristics of an urban area. In recent years, researches and applications utilizing classification...
Impervious surface (here after IMP) is a typical characteristic of urban area and is one of the most important environmental indicators. A 30 year time series (1979-2009) of Landsat imagery and CBERS imagery for Qinhuai River basin was analyzed to estimate the IMP. A new approach was proposed to quantify impervious surface as a continuous variable by using multi-temporal and multi-source datasets...
The accuracy of SINS (strapdown navigation system) related with the gyro tightly, so improving the accuracy of gyro is very urgent. There are two main ways of improving the accuracy currently. One is improving the physical structure which is not practical in our daily research, and the other is modeling the gyro's error by a series of testing and compensating the gyro on the basis of error model which...
Aiming at applying fuzzy evaluating theory to conventional experiments in course of surveying, this paper elaborates the importance of synthesized evaluation of conventional experimentspsila performances in course of surveying. It also discusses the thread of thought used to establish the model of synthesized fuzzy evaluating system of conventional experimental performances in course of surveying...
The optimal two-position alignment using Kalman filter is newly derived for strapdown inertial navigation system (SINS). During the alignment process, SINS is rotated with respect to the heading axis. The Kalman filter estimates the misalignments and gyro drifts at these two positions. In terms of the relationship between yaw misalignments and gyro drifts, the horizontal gyro drifts can be computed...
Recommender systems are used by e-commerce sites to suggest products to their customers and to provide consumers with information to help them determine which products to purchase. Traditional recommender is oriented to a unique recommendation algorithm based on clear preference. Unfortunately, it is not enough. In a lot situations, user hope recommender help them to finish a complicate task based...
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