A Deep-Structured Conditional Random Field Model for Object Silhouette Tracking. [PDF]
PLoS ONE, 2015 In this work, we introduce a deep-structured conditional random field (DS-CRF) model for the purpose of state-based object silhouette tracking. The proposed DS-CRF model consists of a series of state layers, where each state layer spatially characterizes
Mohammad Javad Shafiee +2 more
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Conditional Random Field-Guided Multi-Focus Image Fusion [PDF]
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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A conditional random field based feature learning framework for battery capacity prediction [PDF]
Scientific Reports, 2022 This paper proposes a network model framework based on long and short-term memory (LSTM) and conditional random field (CRF) to promote Li-ion battery capacity prediction results.
Hai-Kun Wang, Yang Zhang, Mohong Huang
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Affiliated Fusion Conditional Random Field for Urban UAV Image Semantic Segmentation [PDF]
Sensors, 2020 Unmanned aerial vehicles (UAV) have had significant progress in the last decade, which is applied to many relevant fields because of the progress of aerial image processing and the convenience to explore areas that men cannot reach.
Yingying Kong +5 more
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Indoor Pedestrian Navigation Based on Conditional Random Field Algorithm [PDF]
Micromachines, 2017 Foot-mounted micro-electromechanical systems (MEMS) inertial sensors based on pedestrian navigation can be used for indoor localization. We previously developed a novel zero-velocity detection algorithm based on the variation in speed over a gait cycle ...
Mingrong Ren +3 more
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LiDAR–camera fusion for road detection using a recurrent conditional random field model [PDF]
Scientific Reports, 2022 Reliable road detection is an essential task in autonomous driving systems. Two categories of sensors are commonly used, cameras and light detection and ranging (LiDAR), each of which can provide corresponding supplements.
Lele Wang, Yingping Huang
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Conditional Random Field-Based Offline Map Matching for Indoor Environments [PDF]
Sensors, 2016 In this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the ...
Safaa Bataineh +4 more
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A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features [PDF]
PeerJ Computer SciencePart-of-speech (POS) tagging is the process of assigning tags or labels to each word of a text based on the grammatical category. It provides the ability to understand the grammatical structure of a text and plays an important role in many natural ...
Mushtaq Ali +2 more
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Compensated Row-Column Ultrasound Imaging System Using Fisher Tippett Multilayered Conditional Random Field Model. [PDF]
PLoS ONE, 2015 3-D ultrasound imaging offers unique opportunities in the field of non destructive testing that cannot be easily found in A-mode and B-mode images. To acquire a 3-D ultrasound image without a mechanically moving transducer, a 2-D array can be used.
Ibrahim Ben Daya +4 more
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Linear Chain Conditional Random Field for Operating Mode Identification and Multimode Process Monitoring [PDF]
ACS Omega, 2022 Fan Wang
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