A multi-granularity proportional hesitant fuzzy linguistic TODIM method and its application to emergency decision making
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Disaster Risk Reduction"
DOI: 10.1016/j.ijdrr.2019.101081
Abstract: Abstract Proportional hesitant fuzzy linguistic sets (PHFLSs), is a good way of representing uncertain assessment of decision makers. This paper focuses on extending the Interactive and Multiple Attribute Decision Making (TODIM) method into multi-granularity PHFLSs… read more here.
Keywords: decision making; granularity; proportional hesitant; multi granularity ... See more keywords
A novel multi-granularity two-layer SDM ROADM architecture
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DOI: 10.1016/j.optcom.2020.126473
Abstract: Abstract In this paper, we study the multi-granularity switching of SDM optical network. We design and demonstrate a novel multi-granularity SDM ROADM. The optical node is a simple two-layer architecture, which has the functions of all-optical multi-granularity… read more here.
Keywords: novel multi; sdm roadm; multi granularity; granularity ... See more keywords
Domain Adaptive Learning with Multi-granularity Features for Unsupervised Person Re-identification
Sign Up to like & getrecommendations! Published in 2022 at "Chinese Journal of Electronics"
DOI: 10.1049/cje.2020.00.072
Abstract: Unsupervised person re-identification (Re-ID) aims to improve the model's scalability and obtain better Re-ID results in the unlabeled data domain. In this paper, we propose an unsupervised person Re-ID method based on multi-granularity feature representation… read more here.
Keywords: person; multi granularity; granularity; domain ... See more keywords
Optimizing Multi-Granularity Region Similarity for Person Re-Identification
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DOI: 10.1109/access.2018.2890664
Abstract: Person re-identification (re-id) is one of the hottest research topics due to its great value in video analysis applications, such as indoor security and road surveillance. It has been verified as beneficial for re-id to… read more here.
Keywords: multi granularity; person identification; similarity; region ... See more keywords
Periodic Pattern Detection Algorithms for Personal Trajectory Data Based on Spatiotemporal Multi-Granularity
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DOI: 10.1109/access.2019.2930619
Abstract: Identifying periodic patterns in individuals’ trajectories is the basis of location awareness and personalized location services. It can help us understand personal behaviors. However, fuzziness and uncertainty of trajectory data, as well as noise and… read more here.
Keywords: multi granularity; periodic patterns; spatiotemporal multi; trajectory ... See more keywords
MIFM: Multi-Granularity Information Fusion Model for Chinese Named Entity Recognition
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2958959
Abstract: Chinese Named Entity Recognition (Chinese NER) is an important task in Chinese natural language processing field. It is difficult to identify the boundary of entities because Chinese texts lack natural delimiters to separate words. For… read more here.
Keywords: multi granularity; model; word; chinese named ... See more keywords
Learning Multi-Granularity Temporal Characteristics for Face Anti-Spoofing
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2022.3158062
Abstract: Face anti-spoofing (FAS) is essential for securing face recognition systems. Despite the decent performance, few existing works fully leverage temporal information. This would inevitably lead to inferior performance because real and fake faces tend to… read more here.
Keywords: multi granularity; face anti; granularity temporal; temporal characteristics ... See more keywords
Receptive Multi-Granularity Representation for Person Re-Identification
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.2986878
Abstract: A key for person re-identification is achieving consistent local details for discriminative representation across variable environments. Current stripe-based feature learning approaches have delivered impressive accuracy, but do not make a proper trade-off between diversity, locality,… read more here.
Keywords: representation; person; multi granularity; receptive multi ... See more keywords
RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3017513
Abstract: Fatigue driving is one of the main causes of traffic accidents. For real-world driver fatigue detection, the large pose deformations exhibited by the captured global face significantly increase the difficulty of extracting effective features. Furthermore,… read more here.
Keywords: multi granularity; driver; fatigue detection; granularity ... See more keywords
Robust Neural Relation Extraction via Multi-Granularity Noises Reduction
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DOI: 10.1109/tkde.2020.2964747
Abstract: Distant supervision is widely used to extract relational facts with automatically labeled datasets to reduce high cost of human annotation. However, current distantly supervised methods suffer from the common problems of word-level and sentence-level noises,… read more here.
Keywords: robust neural; granularity noises; relation; sentence ... See more keywords
Fine-grained Video Captioning via Graph-based Multi-granularity Interaction Learning.
Sign Up to like & getrecommendations! Published in 2019 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2019.2946823
Abstract: Team sports auto-narrative requires simultaneous modeling of fine-grained individual actions and uncovering of spatio-temporal dependency structures of frequent group interactions, and then accurate mapping of these complex interaction details into long and detailed commentary. We… read more here.
Keywords: graph based; team sports; fine grained; interaction ... See more keywords