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With the fast growing number of web services and consumers, selecting a suitable service for the consumer is becoming a crucial issue. Quality of Service (QoS) plays a significant role for both service and consumer in determining requirements. A number of models have been proposed for service selection by considering QoS parameters. In this paper we propose a service selection algorithm by considering...
In this paper we propose an approach to carried object detection in short video sequences and overcome some of the shortcomings of other methods. The proposed approach can estimate pedestrian's walking direction accurately without manual calibration and classify the probable carried object pixels with no need for prior information. Pedestrian's silhouette is first aligned to get the temporal template...
This paper proposes a novel Shift with Importance Sampling (SIS) scheme to improve the efficiency in pedestrian detection but maintain its high accuracy. For fast and efficient object detection, the cascade-Adaboost structure is the commonly-used approach in the literature. However, its detection performance is quite lower due to non-robust features and a fully-scanning on image especially when deformable...
The measurement in shipbuilding is an important task of improving the quality and efficiency. Precision industrial surveying and computer technology can be applied to embedded measurement systems, in which the convenient functions of coordinate data collection, assistant calculation and analysis are provided to test shipbuilding quality. In this paper, the process of system design and operation was...
The issue of incomplete data exists across the entire field of data mining. In this paper, a novel two-phase method is developed to deal with the challenge of incomplete data on classification problems. In phase I, the dataset is divided into disjoint subsets based on the attributes with missing values. In phase II, each subset is used to train appropriate classification algorithms respectively in...
Rare class problems exist extensively in real-world applications across a wide range of domains. The extreme scarcity of the target class challenges traditional machine learning algorithms focusing on the overall classification accuracy. As a result, purposefully designed techniques are required for effectively solving the rare class mining problem. This paper presents a systematic review of the major...
This paper investigates an interesting question of solving incremental learning problems using ensemble algorithms. The motivation is to help classifiers learn additional information from new batches of data incrementally while preserving previously acquired knowledge. Experimental results show that the proposed dynamic weighting scheme can achieve better performance compared to the fixed weighting...
This paper presents some preliminary experimental results on RegionBoost, which is a typical example of a class of boosting algorithms based on dynamic weighting schemes. It is shown that the performance of RegionBoost with the k-nearest neighbor (kNN) algorithm as the competency predictor of its basic classifiers can be significantly improved on a variety of standard UCI benchmark datasets by using...
The support of variable block-sizes, though significantly improves the compression efficiency, imposes a big computational challenge on an H.264 encoder. In this paper, we present a new fast inter-mode decision algorithm based on the coded block pattern (CBP). Specifying which blocks within a macroblock are uncoded, CBP is a good indicator of block-matching accuracy and can be used to reduce the rate-distortion...
As general international standard, inter-range instrumentation group (IRIG) time codes were widely used in modern digital range, monitoring and measurement system, auto-control and commercial fields etc. A new design of IRIG-B code unified time system with high precision using complex programmable logic device (CPLD) technique based on PCI Bus is proposed in this paper. As compared with the original...
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