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Currently, the evaluation of placental maturity has mainly focused on subjective measure, which highly depends on the observation and experiences of the clinicians and not reliable. This paper proposes a new method for grading placenta maturity in B-mod ultrasound (US) images automatically based on local intensity order pattern (LIOP) and fisher vector (FV). After extracting invariant LIOP feature...
As process technologies continually advance, process variation has greatly increased and has gradually become one of the most critical factors for IC manufacturing. Furthermore, these increasingly complex processes continue to make greater use of stressors for mobility enhancement, thus requiring large volumes of data for extensive characterization of layout-dependent effects (LDE) for validation...
Mining web user trust relationship is important in web information credibility analysis. Motivated by the imprecise nature of trustiness, we propose a novel web user trust prediction method based on evidence theory, which uses user ratings to infer trust relationships between users, where each rating score is treated as an evidence. The method first generates basic probability assignments with training...
Hand pose estimation in cluttered environment is always challenging. In this paper, we address the problem of hand pose estimation from RGB-D sensor. To achieve robust real-time usability, we first design a data acquisition strategy, using a color glove to label different hand parts, and collect a new training data set. Then a novel hand pose estimation framework is presented, so that feature fusion...
As process technologies continually advance, local process variation has greatly increased and gradually become one of the most critical factors for IC manufacturing. To monitor local process variation, a large number of DUTs (device-under-test) in close proximity must be measured. In this paper, we present a novel array-based test structure to characterize local process variation with limited area...
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