Deep learning-based methods for person re-identification: A comprehensive review
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.01.079
Abstract: Abstract In recent years, person re-identification (ReID) has received much attention since it is a fundamental task in intelligent surveillance systems and has widespread application prospects in numerous fields. Given an image of a pedestrian… read more here.
Keywords: person; deep model; identification; deep learning ... See more keywords
A deep model‐based channel interference mitigation for OTFS signals in ISAC systems
Sign Up to like & getrecommendations! Published in 2024 at "Electronics Letters"
DOI: 10.1049/ell2.13222
Abstract: In recent years, Orthogonal Time Frequency Space Modulation (OTFS) has gained popularity in integrated sensing and communications (ISAC) system due to its robustness against Doppler offset and delay changes. Traditional pilot‐based methods for accurate channel… read more here.
Keywords: deep model; model based; channel interference; isac systems ... See more keywords
Deep model simulation of polar vortices in gas giant atmospheres
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa2962
Abstract: The Cassini and Juno probes have revealed large coherent cyclonic vortices in the polar regions of Saturn and Jupiter, a dramatic contrast from the east-west banded jet structure seen at lower latitudes. Debate has centered… read more here.
Keywords: simulation polar; deep model; vortices gas; polar vortices ... See more keywords
Cost-Effective Incremental Deep Model: Matching Model Capacity With the Least Sampling
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3132622
Abstract: Most existing approaches often utilize the pre-fixed structure and large number of labeled data for training complex deep models, which are difficult to implement on incremental scenarios. As a matter of fact, real-world data is… read more here.
Keywords: streaming data; cost effective; capacity; deep model ... See more keywords
LSTM-Based Deep Model for Investment Portfolio Assessment and Analysis
Sign Up to like & getrecommendations! Published in 2022 at "Applied Bionics and Biomechanics"
DOI: 10.1155/2022/1852138
Abstract: In recent years, within the scope of financial quantification, quantitative investment models that support human-oriented algorithms have been proposed. These models attempt to characterize fiat-delayed series through intelligent acquaintance methods to predict data and arrange… read more here.
Keywords: deep model; lstm based; based deep; investment ... See more keywords
Development and Validation of a Deep Neural Network for Accurate Identification of Endoscopic Images From Patients With Ulcerative Colitis and Crohn's Disease
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2022.854677
Abstract: Background and Aim The identification of ulcerative colitis (UC) and Crohn's disease (CD) is a key element interfering with therapeutic response, but it is often difficult for less experienced endoscopists to identify UC and CD.… read more here.
Keywords: deep model; colitis crohn; model; ulcerative colitis ... See more keywords