In the recent years, there has been growing interest in developing tools for the modeling and prediction of financial applications. The problem of financial applications is that there are huge data sets available whic...
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Robust lip contour detection plays an important role in Facial Expression recognition (FER). However, the large variations emerged from different speakers, intensity conditions, poor texture of lips, weak contrast bet...
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ISBN:
(纸本)9783642335648;9783642335631
Robust lip contour detection plays an important role in Facial Expression recognition (FER). However, the large variations emerged from different speakers, intensity conditions, poor texture of lips, weak contrast between lip and skin, high deformability of lip, beard, moustache, wrinkle, etc. often hamper the lip contour detection accuracy. The novelty of this research effort is that we propose a new lip boundary localization scheme using Game Theory (GT) to elicit lip contour accurately from a facial image. Furthermore, we apply a feature subset selection scheme based on Particle Swarm Optimization (PSO) to select the optimal facial features. We have conducted several sets of experiments to evaluate the proposed approach. The results show that the proposed approach has achieved recognition rates of 93.0% and 92.3% on the JAFFE and CK+ datasets, respectively.
With the explosive growth of the Internet, recommendation systems have been widely used by users. Collaborative Filtering (CF) is one of the most popular approaches for determining recommendations. With the developmen...
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Human interaction involves exchanging not only explicit content, but also implicit information about the affective state of the interlocutor. In recent years, researchers attempt to endow the computers or robots with ...
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As recommender systems have proven their effectiveness in other areas, it is aimed to transfer this approach for use in medicine. Particularly, the diagnoses of physicians made in rural hospitals of developing countri...
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Rough set theory has been proposed by Pawlak as a useful tool for dealing with the vagueness and granularity in information systems. Classical rough set theory is based on equivalence relation. The covering rough sets...
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Multiple instance learning, when instances are grouped into bags, concerns learning of a target concept from the bags without reference to their instances. In this paper, we advance the problem with a novel method bas...
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The proceedings contain 33 papers. The topics discussed include: transductive prostate segmentation for CT image guided radiotherapy;model-driven centerline extraction for severely occluded major coronary arteries;MRI...
ISBN:
(纸本)9783642354274
The proceedings contain 33 papers. The topics discussed include: transductive prostate segmentation for CT image guided radiotherapy;model-driven centerline extraction for severely occluded major coronary arteries;MRI confirmed prostate tissue classification with laplacian eigenmaps of ultrasound RF spectra;hierarchical ensemble of multi-level classifiers for diagnosis of Alzheimer's disease;dense deformation reconstruction via sparse coding;group sparsity constrained automatic brain label propagation;sparse patch-guided deformation estimation for improved image registration;computer-aided detection of aneurysms in 3D time-of-flight MRA datasets;data driven constraints for the SVM;towards improving the accuracy of sensorless freehand 3D ultrasound by learning;and nonlinear discriminant graph embeddings for detecting white matter lesions in FLAIR MRI.
An accuracy assessment method that integrates segmentation and classification accuracy is proposed to meet the requirements of object-based image analysis. Segmentation errors are measured by establishing the relation...
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Resource planning is one of the most important operational issues for many companies. This is especially crucial for telecommunications companies. Resource planning aims to provide a high quality of service to the cus...
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