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Fall detection for elderly is one of the most important areas in elderly healthcare. Both video and radar based detections are being developed for this purpose. This paper presents a new approach to classify different human motions through machine learning. In particular, our objective is to achieve high-accuracy fall detection through the exploitation of both video and radar data. Motion history...
Extracting opinion words and opinion targets from online reviews is an important task for fine-grained opinion mining. Usually, traditional extraction methods under the pipeline-based framework have higher precision but lower recall, while methods in the propagation-based framework possess greater recall but poorer precision. To achieve better performance both in precision and recall, this paper proposes...
To reveal the information hiding in the scholarly big data, relationship analysis among academic entities has been studied from different perspectives in recent years. In this paper, we focus on the problem of collaboration relationship prediction between authors in heterogeneous information networks, and a new method called MACP, i.e., Meta path and author Attribute based Collaboration Prediction...
Mobile phones are quickly becoming the primary source for social and behavioral sensing and data collection. A great deal of research effort in academia and industry is put into mining this data for higher level sense-making, such as understanding user context, inferring social networks, learning individual features, and so on. In this work, we have an attempt to predict a user's status in campus,...
This paper proposed a method for Unknown Words Identification (UWI) based on repeats. To identify Unknown words with reliable theory, we put forward a formal model for the process of UWI, which can give directions on the selection of features used in UWI in theory. For the formal model, we propose employing Conditional Random Fields model (CRF) as statistical frame to resolve it. Under the statistical...
An autonomous text capturing and tracking method for digital video is proposed in this paper. Frames are divided into blocks. Text blocks are extracted first using a discrete cosine transformation (DCT) based method, then the optimal text region is extracted from duplicate regions within the consecutive frames using the method of text tracking, and is used as an input for optical character recognition...
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques. In this work we present a novel scheme to model the shape of white matter fiber tracts reconstructed from DTI and cluster them into bundles using Fourier descriptors. We characterize a tract's shape by using Fourier descriptors...
To analyze the nuclei distributed in the glomeruli of the renal biopsy images automatically, the problem of missing or wrong extraction of them caused by the complex characteristics of the renal biopsy images must be solved. This paper introduces a dynamic thresholding method using eigenvalue feedback strategy based on multi-channel information. Firstly, the nonlinear thresholding surface adjusted...
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