Results 21 to 30 of about 190,167 (213)
Exploiting Prosody for Syntactic Analysis in Automatic Speech Understanding
Journal of Language Modelling, 2012 The relation between syntax and prosody is evident, even if the prosodic structure cannot be directly mapped to the syntactic one and vice versa. Syntax-to-prosody mapping is widely used in text-tospeech applications, but prosody-to-syntax mapping is ...
György Szaszák, András Beke
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Boundary Detection-Based Density Peaks Clustering
IEEE Access, 2019 Clustering algorithms have a very wide range of applications on data analysis, such as machine learning, data mining. However, data sets often have problems with unbalanced and non-spherical distribution.
Dianfeng Qiao, Yan Liang, Lianmeng Jiao
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A Visual Tracking Algorithm Combining Parallel Network and Dual Attention-Aware Mechanism
IEEE Access, 2023 In order to solve the problems of semantic loss and inaccurate boundary detection in the process of object tracking, a visual tracking algorithm combining parallel structure with dual attention-aware mechanism is proposed in this paper.
Haibo Ge +3 more
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Shiyou jixie, 2021 Due to its high measurement accuracy and deep investigation depth, the azimuthal electromagnetic wave technology can effectively guide drilling engineering operation in the process of drilling, and it is the research hotspot of geosteering drilling in ...
Yuan Renguo +5 more
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Grain Boundary Detection Based on Multi-Level Loss From Feature and Adversarial Learning
IEEE Access, 2020 The shape, size and distribution of grains play an important role in the quality of alloy materials. However, in the actual production process, the grain boundary is not always visible in the metallographic image observed by microscope. In this paper, we
Mingchun Li, Dali Chen, Shixin Liu
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Domain-Specific Entity Recognition as Token-Pair Relation Classification
IEEE Access, 2023 Named Entity Recognition (NER) is a fundamental but crucial task in natural language understanding, aiming at identifying entity mentions from free text.
Jinxuan Liu +4 more
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Remote Sensing, 2017 Over the past few years, accurate 3D surface reconstruction using remotely-sensed data has been recognized as a prerequisite for different mapping, modelling, and monitoring applications.
Zahra Lari, Naser El-Sheimy, Ayman Habib
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Extracting Agricultural Fields from Remote Sensing Imagery Using Graph-Based Growing Contours
Remote Sensing, 2020 Knowledge of the location and extent of agricultural fields is required for many applications, including agricultural statistics, environmental monitoring, and administrative policies.
Matthias P. Wagner, Natascha Oppelt
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Deep Learning-Based AIS Signal Collision Detection in Satellite Reception Environment
Applied SciencesAutomatic Identification System (AIS) signals are critical for maritime traffic monitoring and collision avoidance. In satellite reception environments, signal collisions occur frequently due to large coverage areas and high ship density, severely ...
Geng Wang +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAccurate delineating individual agricultural fields (AFs) plays a key role in advancing precision agriculture and effective land management. Although deep learning techniques have shown great potential in automatically extracting AFs from satellite ...
Mengyu Liu +5 more
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