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Hidden Markov Support Vector Machines is a novel structural SVMs model. Its efficiency has been proved in label sequence learning task such as English text chunking. In this paper, we treat Chinese chunk recognition as a label sequence learning problem. After giving the definition of Chinese chunk, we apply HMSVM to solve Chinese chunk problem. The results of experiment show that it achieves a better...
Many methods have been employed to study Land Use Change (LUC) in different areas, including some new algorithms from Artificial Intelligence (AI) field, such as Case-Based Reasoning (CBR), Artificial Neural Network (ANN), Bayesian Network (BN) and Support Vector Machine (SVM). Applications of some new methods have indicated both advantages and limitations. This paper presents a comparison between...
In order to reduce the practical decision system including continuous attributes, a reduction algorithm based on neighborhood granulation is proposed. In this algorithm, a rough set model is used based on neighborhood equivalence, the indiscernibility relation is measured by neighborhood relation, and the universe spaces is approximated by neighborhood information granules. We construct a features...
The two-land city traffic in one direction considering bay bus station is investigated based on a modified 1-D pipe-flow model numerically. The source function is proposed to describe the phenomena of vehicles changing ways and the motion rule of traffic flow is introduced. The problem of the miscible traffic flow is solved by citing the stochastic bus-entering-stop probability. The optimistic length...
Rough set theory is an important technique for knowledge discovery in databases. The measurement of the uncertainty of knowledge is one of the important issues in rough set theory. The definitions of entropy and the conditional entropy in the process of probability are given, and the meanings of entropy and the conditional entropy are explained in this paper. In addition, the new definition of the...
This paper focuses on the comprehensive review of the literature on applications of rough set theory in Civil Engineering. The relationships between rough set theory and other mathematical methods, such as conventional statistical methods, fuzzy sets, and evidence theory, are briefly introduced. The applications of rough set theory in Civil Engineering are discussed in structure engineering, pavement...
In this paper, we introduced the intrusion detection system and the uncertain theory, and point out two important prerequisite that the IDS work normally must depend on, and in view of the prerequisite, the paper proposed a solution which is based on uncertain distance and the active defence technology anti-host intrusion. The solution can distinguish normal event from the unknown event efficiently,...
In this paper, the author proposed the concept of incomplete and fuzzy information systems based on incomplete approximation spaces and fuzzy sets, and analyzed the approximate class-precision and boundary in rough set systemically, via introducing the thought of inner & outer boundaries and inner & outer approximate definable sets combining rough set with fuzzy set, variable precision theory,...
Integrated from the three articles on Vague plan, the paper advanced the Vague plan optimization algorithm, which proposed the definition of the transforming formula from the single data to Vague data, and also put forward two transforming formulas from the single data to Vague data, and proposed one similarity measure formula among one Vague set. The two formulas are the basic foundation of the Vague...
This paper uses Bumblebee stereo vision system to reconstruct the 3D terrain for patrol robot. Firstly, with the selected points in the disparity image, the ground plane equation of the current frame is calculated by the RANSAC (Random Sample Consensus) algorithm, and then estimated and predicted by the Kalman filter. Secondly, the elevation image is obtained through the distance between the obstacle...
Solving a 3-D square maze through an autonomous robot is gaining immense popularity among the robotics aspirants. IEEE has established a set of rule for this and launched a competition named “Micromouse” where an autonomous robot or mice solves an unknown maze. Without deploying Artificial Intelligence technique it's not possible to do this task efficiently. Several algorithms which originate from...
Background reconstruction is very important in many video-based tracking systems. The principle difficulties are the quality and velocity of reconstruction. To cope with these problems, a novel method is proposed. Firstly, the sequence images are decomposed into low frequency sub-images using DWT (discrete wavelet transform). Then, the improved grayscale classification is introduced to reconstruct...
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