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Sleeping is one of the most important activities in our daily lives and affect our health. However, very few people could really understand their sleeping habits, which is important to avoid potential sleep-related diseases. Most current studies on sleeping posture studies aim at the monitoring of sleeping postures. However, they are limited to be used in hospitals and need experts to operate these...
Sleeping is one of the most important activities in our daily lives. However, very few people really understand their sleeping habits, which affect sleep-related diseases such as sleep apnea, back problems or even snoring. Most current techniques that monitor, predict and quantify sleep postures are limited to use in hospitals and/or need the intervention of caregivers. In this paper, we describe...
In recent years, researches of aspect-category-based sentiment analysis have been approached in terms of predefined categories. In this paper, we target two sub-tasks of SemEval-2014 Task 4 dedicated to aspect-based sentiment analysis: detecting aspect category and aspect category polarity. Also, a pre-identified set of aspect categories {food, price, service, ambience, miscellaneous} defined by SemEval-2014...
Playback attack detection (PAD) is essentially a binary classification task which is used to identify the authentic recordings from the playback recordings. For PAD problem, the difference of the acoustic feature between the authentic and playback recordings mainly comes from the recording channel and the ambient noise. Motivated by the excellent performance of the Gaussian Mixture Model-Universal...
In this paper, a novel technique known as the Fisher criterion-based nearest feature space (FCNFS) approach is proposed for supervised classification of multisource images for the purpose of landslide hazard assessment. The method is developed for land cover classification based upon the fusion of remotely sensed images of the same scene collected from multiple sources. This paper presents a framework...
A bird phrase segmentation method using entropy-based change point detection is proposed. Spectrograms of bird calls are usually sparse while the background noise is relatively white. Therefore, considering the entropy of a sliding time-frequency block on the spectrogram, the entropy dips when detecting a signal and rises when the signal ends. Rather than applying a hard threshold on the entropy to...
In cloud computing environments, users can rent virtual machines (VMs) from cloud providers to execute their programs or provide network services. While using this kind of cloud services, one of the biggest problems for the users is to determine the proper number of VMs to complete the jobs considering both budget and time. In this paper, we propose a resource prediction framework (RPF), which can...
Dizziness caused by peripheral vestibular nerve disease might lead to the imbalance of center of gravity, which in turn might affect the quality of daily life. Vestibular function rehabilitation exercise is thought to be able to improve the symptom of dizziness effectively. However, since rehabilitation process is boring, lacks of challenges and adaptive training contents and lacks of assessment method...
Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and color analysis, as well as data mining techniques. To our best knowledge, this is the first time to propose segmentation and grid module, feature...
With the development of computer aided design technique,3D reconstruction from 2D input has been widely used in the research of computer vision. Plentiful works have been done in three orthographic views, in this paper a new method is introduced under single 2D input. The system in this paper aims at the reconstruction of useful objects in computer design. Angle histogram and corner detector are used...
Grapheme-to-phoneme (G2P) conversion plays an important role in speech synthesis. The main difficulty facing Chinese G2P conversion is that many Chinese characters are polyphonic, having more than one pronunciation. A Chinese G2P system must be able to pick the correct pronunciation from among several candidates. Contextual information on neighboring characters such as character n-grams, phonetic...
This paper proposes to formulate the age estimation on face images as a Bayesian estimation problem. The proposed framework incorporates a probabilistic model on face aging distribution into the formulation. Individual-specific prior information as well as individual-specific aging models, if available, could then be easily included into the unified age estimation framework. We conduct experiments...
Surgical patients are usually at high risk of developing pressure ulcers after their operation. Usually, the pressure ulcers data sets are imbalanced. Therefore, this study aims to examine the real medical case of pressure ulcers with the use of support vector machines (SVMs). SVMs are used for forecasting and are a type of classification techniques. We utilize the measurement of sensitivity and specificity...
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