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
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