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In this study we try to understand how physicians can benefit from a social healthcare forum for a chronic digestive disease like irritable bowel syndrome (IBS). Based on over half a million posts over 16 years, we compared the frequencies of selected keywords and their concurrent and time-lagged concordance with publication trends in the scientific medical literature. We found reciprocal associations...
In this paper, we present an iAR prototype designed for offshore/onshore plant's piping O&M. We have defined terms of iAR as “integrated-AR” and “intelligent-AR” in previous paper. That is, AR technology or application should be integrated with CAD system (or CAD oriented system) and be able to support engineering knowledge to be the successful industry application. The system uses “Intergraph...
We demonstrate in-situ monolithic integration of an InP-based nanobeam laser and a passive waveguide on SOI using selective quantum well etching technique. The device on SOI platform is realized by employing transfer printing process.
We study selective wet-etching systems for realizing self-aligned nano-emitters. Controllability of the nano-emitters' shapes, sizes and positions are the major advantages of this method. Emission of nano-emitters at telecom-wavelength is characterized from the photoluminescence measurement.
Establishing correspondences between two feature sets is a fundamental issue in computer vision, pattern recognition, and machine learning. This problem can be well formulated as graph matching in which nodes represent feature points while edges describe pairwise relations between feature points. Recently, several researches have tried to embed higher-order relations of feature points by hyper-graph...
We propose a novel stochastic graph matching algorithm based on data-driven Markov Chain Monte Carlo (DDMCMC) sampling technique. The algorithm explores the solution space efficiently and avoid local minima by taking advantage of spectral properties of the given graphs in data-driven proposals. Thus, it enables the graph matching to be robust to deformation and outliers arising from the practical...
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local invariant features. We formulate object-based image matching as an unsupervised multi-class clustering problem on a set of candidate feature matches, and propose a novel pairwise dissimilarity measure and a robust linkage...
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