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In practice, unlabeled data can be cheaply and easily collected from target domain, but it is quite difficult and expensive to obtain a large amount of labeled data. Therefore how to use both of labeled and unlabeled data to improve the learning performance becomes critical issue for many real-world applications. Active Learning and Semi-supervised Learning are right solutions to such problem, and...
As a fundamental task in automated video surveillance, person re-identification, which has received increasing attention in recent years, aims to match people across non-overlapping camera views in a multi-camera surveillance system. It has been reported that KISS metric learning has been followed by most of the previous supervised work because of its state of the art performance for person re-identification...
Traffic engineering is a key in effective utilisation of the road network infrastructure. Simulation assists traffic engineers making informed decisions on how to operate and direct traffic within the road networks. These simulations are complex, generate big data and require high-powered computers, which can process information faster than real time, to ensure the results can be used to affect traffic...
Based on a case study example of a voltage-mode controlled half-bridge inverter, this paper illustrates the slow-scale instability and fast-scale instability phenomena mathematically. An average model for slow-scale instability analysis and a discrete-model for fast-scale instability analysis are presented. The main results are illustrated by simulations. It is shown that the slow-scale instability...
At present, autonomous motion control for high-speed mobile robot is one of bottlenecks that restrict the development of mobile robot technology. It is very dangerous when the vehicle is in a instable drift state, in which state it is difficult to model and realize effective control. Therefore, general high-grade cars take measures, such as ABS technology, to curb drift in order to make the car stable...
Nowadays, large-scale Cloud-based applications have put forward higher demand for storage ability of data centres. Data in the Cloud need to be stored with high efficiency and cost effectiveness while meeting the requirement of reliability. While in current Cloud systems, typical 3-replicas data replication strategies are applied for data reliability, in this paper we propose a novel cost-effective...
This paper takes a kind of ceramic glaze as an example, and builds an improved BP neural network model for optimizing the formulation on ceramic glaze. The improved BP neural network adopts Levenberg-Marquardt algorithms. The paper reviews how to build the ceramic formulation optimization model based on BP artificial neural network, including the establishment of neural network, the training, and...
In order to solve the “premature convergence” and inefficiency during the following period of the evolution, an improved genetic algorithm was presented. Then we took ceramic body as example, and we established the mathematical model of multi-objective optimization for ceramic body formula by parallel selection. After experimental verification, this method produces the results with high precision...
The erecting process of a hydraulic erecting system was studied based on electro-hydraulic similarity principle, with the numerical simulation of the rapid-erection system of a multi-function missile launching vehicle as an example. The system modeling was based on ??knot point balance method??. The pressure-flow rate characteristics of hydraulic elements and cubage cavity were analyzed based on mathematic...
Today more and more users on C2C marketplaces turn to be professional sellers and their online stores become more like B2C websites. Since that, many C2C marketplaces introduced the trust evaluation model based on B2C to evaluate the credibility of each online store, like Taobao proposed the dynamic score in 2009. But the dynamic score had limitations on some aspects and aroused many criticisms. In...
Recently, active contour models based on local information have emerged in image segmentation. These models are more robust to local variations of region of interest. But it also brought some new problems, such as local minimum, higher computational cost. To effectively alleviate these problems, this paper presents a novel fast active contour model driven by global-local statistical energy. Firstly,...
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