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We propose a novel supervised initialization scheme for cascaded face alignment by searching nearest neighbors based on global image descriptors. Unlike existing schemes which resort to additional large training data sets for learning features, our method does not require additional training steps; thus making our method low computational. Moreover, we found that it is sufficient to use a simple low-dimensional...
One of the essential tasks in data integration is entity resolution (ER) which will recognize the records that are belonging to the same entity. The entity resolution is referred by many other terms like duplicate detection, pattern matching, etc. Now a days the activities like information integration, information retrieval, crowd sourcing, and pay-as-you-go have involved users to carry out the ER...
This paper presents a prognostic methodology that can be implemented in a condition-based maintenance (CBM) program. The methodology estimates the remaining useful life (RUL) of a system by using a pattern-based machine learning and knowledge discovery approach called Logical Analysis of Data (LAD). The LAD approach is based on the exploration of the monitored system's database, and the extraction...
In cybercrime, the evaluation results of the weight of digital evidence are directly influencing the cognizance of the relevant case, further influencing the judgment of the case. Now, it lacks a universally accepted standard to evaluate the weight of digital evidence. Furthermore, the result of the evaluation will be easily influenced by experts. A system, which is based on Naive Bayesian Classification,...
The task of semi-supervised outlier detection is to find the instances that are exceptional from other data with the use of some labeled examples. In many applications such as fraud detection and intrusion detection, this issue becomes important. Most existing techniques are unsupervised and the semi-supervised approaches use both negative and positive instances to detect outliers. However, in many...
This paper proposes a methodology for modeling a traditional Chinese medicine (TCM) doctor's diagnosis by classifying a person's health states into 13 Zhengs that are not entirely independent, while the diagnosis data as the decision data are subjective. A method for selecting the optimal modals and the attributes from the multimodal input data for the classification is proposed, and the corresponding...
To support development processes for nanodevices, we want to utilize the information related to experiments from nanodevice development research papers. In this paper, we propose a new guideline for constructing a tagged corpus of nanodevice development papers to achieve this goal. We also propose the use of a corpus construction support tool. To speed up the construction process, we propose an approach...
Decision tree algorithms have the ability to deal with missing values. While this ability is considered to be advantage, the extreme effort which is required to achieve it is considered a drawback. With the missing values the correct branch could be missed. Therefore, enhanced mechanisms must be employed to handle these values. Moreover, ignoring these null values may cause critical decision to user...
Knowledge Discovery in Databases (KDD) is a complex interactive and iterative process which involves many steps that must be done sequentially. Supporting the whole KDD process has enjoyed a great popularity in recent years, with advances in research. We however still lack of a generally accepted underlying framework and this hinders the further development of the field. We believe that the quest...
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this reliability, such systems often require the use of sequential inspections, where additional data can be collected to resolve ambiguous test cases. It is impractical or costly to collect this additional data on every sample,...
Through compiling the evaluation scale of the junior middle school teachers' teaching ability in the classroom by ourselves, this study combines the methods of cluster sampling and typical sampling, and makes an evaluation towards 78 junior middle school teachers' teaching ability in the classroom in Handan city. The conclusion is that the study has checked the reliability and the validity of the...
This study focuses on famous international tourist hotels in Taiwan. The five criteria of the service quality model (PZB) serve as basis during fitness club customer survey conductions. Firstly, data is collected using literature review method. Then experts and customers opinions are obtained using Delphi Method. After that, calculations and analysis are done using Analytic Hierarchy Process (AHP)...
At present, enterprises at home are all bothered by jobhopping of young employees, and the managers are fed up with the turbulence of staff team and the resignation of person with ability. Numerous researches have shown that the main reason of the jobhopping of young employees is the dissatisfaction of individual career development. They feel their development is limited, and want to find a new break...
In this paper, we consider the multiclass classification problem based on independent set of binary classifiers. Each binary classifier represents the output of quantized projection of training data onto a randomly generated orthonormal basis vector thus producing a binary label. The ensemble of all binary labels forms an analogue of a coding matrix. The properties of such kind of matrices and their...
Three theory-based hypotheses related to distribution chains and quality perceptions are advanced and examined empirically. The reported findings show that upstream chain stages place more emphasis on distribution quality, while downstream chain stages more emphasize product quality. A systematic change in quality perceptions is observed across national borders.In addition, more similar quality perceptions...
A rehabilitation training system based on multi-parameters status monitoring and information fusion is discussed in this paper. The signal processing system is built with MSJP430 series MCU. Soft judgment is carried out based on all kind of information from the force on driving wheel, the speed of driving motor, the stress of patient's sit gesture from sensor array. Specific observation domain is...
Interobserver reliability and reproducibility are well known problems in experimental research within the social and behavioural sciences. We propose the use of formal techniques and tools to reduce this problem. To this end we extend standard research methods by transcribing video material in terms of basic score units, using automated tools to define in logic the more complex score units in terms...
Learning under imbalanced dataset can be difficult since traditional algorithms are biased towards the majority class, providing low predictive accuracy over the minority one. Among the several methods proposed in the literature to overcome such a limitation, the most recent uses multi-experts system (MES) composed of balanced classifiers, whose decisions are aggregated according to a combination...
In this paper, antagonistic event group was taken as the carrier, and AHP (analytic hierarchy process) was adopted to determine the weight values in the four-level elements of the competition structure. Meanwhile, Kendall coefficient of concordance was used to exam the reliability of weight evaluation and Cronbach coefficients to make a consistent internal mathematical test of four-level elements...
This paper describes an easy adapted method of improving test coverage and effectiveness in an on-going industrial project by introducing and applying 'test type' into test case design and execution. It presents comparison results of the number of system test item, effectiveness of test cases, and defect detection percentage between two increments in a real-world telecom project. It argues the importance...
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