In this paper, we explore the links between two well-known models in spatial and temporal reasoning - Allen's interval algebra in temporal reasoning and the RCC model in spatial reasoning. We show that the tempora...
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ISBN:
(纸本)0780378652
In this paper, we explore the links between two well-known models in spatial and temporal reasoning - Allen's interval algebra in temporal reasoning and the RCC model in spatial reasoning. We show that the temporal relations identified by interval algebra are actually a combination of RCC-8 relations with directional relations. The work divides RCC-8 relations into two distinct sets with respect to directional factors. This result can be utilized to combine topology and directional relations in particular applications.
Feature selection is an effective technique to put the high dimension of data down, which is prevailing in many application domains, such as text categorization and bio-informatics, and can bring many advantages, such...
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This paper describes a region-based retrieval system based on graph-cuts and global/local feature. We also use dynamic partial function (DPF), indexing by locality sensitive hashing (LSH) and learning feedback for imp...
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This paper describes a region-based retrieval system based on graph-cuts and global/local feature. We also use dynamic partial function (DPF), indexing by locality sensitive hashing (LSH) and learning feedback for improving system performance. Such a system is useful for finding a sub-object from a large image database. In order to obtain the sub-object from a sample image, we propose an efficient graph-cuts segmentation method to cut out the object. The system utilizes the segmentation results to capture the higher-level concept of images and gets a stable and accurate result. Also the feedback method is efficient. Experimental and comparison results, which are performed using a general purpose database containing 5,000 images, are encouraging.
A new 3D reconstruction algorithm based on particle swarm optimization (PSO) is proposed. This is the first time to introduce PSO to the multi-views problem. The proposed algorithm designs a scheme to represent the 3D...
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A new 3D reconstruction algorithm based on particle swarm optimization (PSO) is proposed. This is the first time to introduce PSO to the multi-views problem. The proposed algorithm designs a scheme to represent the 3D parameters using a particle. Then the PSO algorithm is used to search the solution space and optimizes the fitness function. Finally, the algorithm can efficiently get the correct solution with less time and less complexity. Additionally, some details of implement are discussed which influence the performance of the algorithm. Experiments and comparisons are given in real data. The accuracy of the recovered solution is compared to the existing algorithms and outperformed them.
The introduction ofproportional-integral-dorivative (PID) controllers into cooperative collision avoidance systems (CCASs) has been hindered by difficulties in their optimization and by a lack of study of their ef...
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The introduction ofproportional-integral-dorivative (PID) controllers into cooperative collision avoidance systems (CCASs) has been hindered by difficulties in their optimization and by a lack of study of their effects on vehicle driving stability, comfort, and fuel economy. In this paper, we propose a method to optimize PID controllers using an improved particle swarm optimization (PSO) algorithm, and to bettor manipulate cooperative collision avoidance with other vehicles. First, we use PRESCAN and MATLAB/Simulink to conduct a united simulation, which constructs a CCAS composed of a PID controller, maneuver strategy judging modules, and a path planning module. Then we apply the improved PSO algorithm to optimize the PID controller based on the dynamic vehicle data obtained. Finally, we perform a simulation test of performance before and after the optimization of the PID controller, in which vehicles equipped with a CCAS undertake deceleration driving and steering under the two states of low speed (≤50 km/h) and high speed (≥100 km/h) cruising. The results show that the PID controller optimized using the proposed method can achieve not only the basic functions of a CCAS, but also improvements in vehicle dynamic stability, riding comfort, and fuel economy.
Texture synthesis is a very active research area in computer vision and graphics, and temporal texture synthesis is one subset of it. A new temporal texture synthesis algorithm is presented, in which genetic algorithm...
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Texture synthesis is a very active research area in computer vision and graphics, and temporal texture synthesis is one subset of it. A new temporal texture synthesis algorithm is presented, in which genetic algorithm is introduced into the processes of synthesizing videos. In the algorithm, by analyzing and processing a finite source video clip, infinite video sequences that are played smoothly in vision can be obtained. Comparing with many existing temporal texture synthesis algorithms, this algorithm can get high-quality video results without complicated pre-processing of source video while it improves the efficiency of synthesis. This paper analyzes to determine the population size and the Max number of generations which influence the speed and quality of synthesis.
Classical genetic algorithm suffers heavy pressure of fitness evaluation for time-consuming optimization problems, e.g., aerodynamic design optimization, qualitative model learning in bioinformatics. To address this p...
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In designing a focused crawler, the choice of strategy for prioritizing unvisited URLs is vital. The text surrounding a link or the link context on the HMTL page is a good summary of the target page. This paper invest...
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In designing a focused crawler, the choice of strategy for prioritizing unvisited URLs is vital. The text surrounding a link or the link context on the HMTL page is a good summary of the target page. This paper investigates some alternative methods and advocates that the link-context derived from reference page's HTML tag tree can provide a wealth of illumination for domain-specific web resource discovery guided by SVM classifier with uneven margins, which is particularly helpful for small training datasets. Little work has been done to utilize the beneficial link context information about the seed URLs. In order that crawler can acquire enough illumination from link-context, we initially look for some referring pages by traversing backward from seed URLs. The method collects this kind of resources beforehand and then uses it to steer resource discovery. A comprehensive experiment has been conducted using multiple crawls over 10 topics covering thousands of pages allowing us to derive statistically strong results.
A large number of techniques have been implemented mostly based on abundance of data statistics and they usually do not harness the semantic relationships between attributes. This paper proposes a novel ontology-based...
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A text mining algorithm named HMM-TFM (Hidden Markov Model based transcription factor name mining) is presented. The proposed algorithm does not need a dictionary of transcription factor names. A small verb set is def...
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