Results 1 to 10 of about 17,099 (166)
Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning [PDF]
Sensors, 2017 Due to the reasonably acceptable performance of state-of-the-art object detectors, tracking-by-detection is a standard strategy for visual multi-object tracking (MOT).
Ehwa Yang, Jeonghwan Gwak, Moongu Jeon
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Data‐driven recovery of hand depth using CRRF on stereo images [PDF]
IET Computer Vision, 2018 Hand pose is emerging as an important interface for human–computer interaction. This study presents a data‐driven method to estimate a high‐quality depth map of a hand from a stereoscopic camera input by introducing a novel superpixel‐based regression ...
Rilwan Remilekun Basaru +3 more
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Automatic prosody prediction and detection with Conditional Random Field (CRF) models [PDF]
2010 7th International Symposium on Chinese Spoken Language Processing, 2010 While the current TTS systems can deliver quite acceptable segmental quality of synthesized speech for voice user interface applications, its prosody is still perceived by users as “robotic” or not expressive. In this paper, we investigate how to improve TTS prosody prediction and detection.
Yao Qian +3 more
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Applied Sciences, 2022 Machine reading comprehension (MRC) is an important research topic in the field of Natural Language Processing (NLP). However, traditional MRC models often face challenges of information loss, lack of capability to retain long-distance dependence, and ...
Nawei Shi +2 more
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Rockhead profile simulation using an improved generation method of conditional random field
Journal of Rock Mechanics and Geotechnical Engineering, 2022 Rockhead profile is an important part of geological profiles and can have significant impacts on some geotechnical engineering practice, and thus, it is necessary to establish a useful method to reverse the rockhead profile using site investigation ...
Liang Han +4 more
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S3CRF: Sparse Spatial-Spectral Conditional Random Field Target Detection Framework for Airborne Hyperspectral Data [PDF]
IEEE Access, 2020 Airborne hyperspectral data have both high spectral and spatial resolutions. Although the finer spatial resolution allows more abundant spatial characteristics to be exhibited, the spectral variability problem remains. However, few of the current spatial-
Shaoyu Wang +4 more
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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2017 Autonomous UAVs typically require systems capable of mapping (segmenting) the region of a colored image. Regional segmentation will be used to determine the existence of obstacles.
Muhammad Rachmadi, Derry Alamsyah
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IEEE Access, 2021 Weaponry equipment names belong to an important military naming entity that is difficult to identify because of features, such as complex components, miscellaneous, and scarce annotation corpus. Here, the automatic recognition of weaponry equipment names
Chenguang Liu +3 more
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Conditional Random Field-Guided Multi-Focus Image Fusion
Journal of Imaging, 2022 Multi-Focus image fusion is of great importance in order to cope with the limited Depth-of-Field of optical lenses. Since input images contain noise, multi-focus image fusion methods that support denoising are important.
Odysseas Bouzos +2 more
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Chinese Sequence Labeling Based on Stack Pre-training Model
Journal of Harbin University of Science and Technology, 2022 Sequence labeling is an important task in natural language processing. In this paper, according to the relevance of tasks, we use stacking pretraining model to extract features, segment words, and name entity recognition/chunk tagging.Through in-depth ...
LIU Yu-peng, LI Guo-dong
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