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Smile detection from facial images is a specialized task in facial expression analysis with many potential applications such as smiling payment, patient monitoring and photo selection. The current methods on this study are to represent face with low-level features, followed by a strong classifier. However, these manual features cannot well discover information implied in facial images for smile detection...
Recently, spatial pyramid matching (SPM) has achieved leading performance in scene classification. In SPM, spatial information of local features is integrated into representation by computing histograms of local features over increasingly fine regular grids on an image. But this spatial information encoding scheme is very restrictive, because it assumes that images from same scene category have similar...
In this paper, we describe a two-stage hybrid approach to select gene features and produce dominant patterns for evaluating the pathological probability. To discover suitable genes as experiment samples for distinguishing the status of gene regulation, we utilized receiver operating characteristic (ROC) method to eliminate non-significant genes of unapparent variation between normal tissues and tumors...
Research work related to plagiarism detection methods in dealing with monolingual texts (e.g. English texts) have been well established in recent years. However, little attention has been paid to facilitate plagiarism detection in cross-lingual text collections (e.g. English and Chinese texts). In this paper we present a system platform to evaluating text similarity and relatedness in multilingual...
In this paper, we present a new approach of designing adaptive inverse controller for synchronous generator excitation system containing nonsmooth nonlinearities in actuator device. The proposed controller considers not only the dynamics of generator but also nonlinearities in actuator. To address such a challenge, support vector machines (SVM) is adopted to identify the plant and to construct the...
The ability to automatically identify relationships between cancer diseases and external factors from medical records for supporting cancer diagnosis would be a valuable contribution in public health fields. Unfortunately, so far little attention has been paid on such a problem domain to developing effective solutions. In this work, we propose a prototype for automating the extraction of relationships...
To meet the personalized needs of customers in e-supermarket, an adaptive recommendation algorithm based on support vector machine was proposed in the paper. First, the commodities that user needed were classified as several categories through support vector machine, which ensured the recall of commodity recommendation. Then vector space model was used for content-based recommendation, specific commodities...
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