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Multideep Feature Fusion Algorithm for Clothing Style Recognition

Yuhua Li, Zhiqiang He, Sunan Wang, Zicheng Wang, Wanwei Huang, Amr Tolba
2021 Wireless Communications and Mobile Computing  
Based on that, we propose a multideep feature fusion algorithm for clothing image style recognition.  ...  Then, the three parts were inputted, respectively, to improve ResNet for feature extraction, which has been trained beforehand.  ...  Multifeature Fusion.  ... 
doi:10.1155/2021/5577393 fatcat:b6hlhjkgevdrpkshokowlxdixi

IEEE Access Special Section Editorial: AI-Driven Big Data Processing: Theory, Methodology, and Applications

Zhanyu Ma, Sunwoo Kim, Pascual Martinez-Gomez, Jalil Taghia, Yi-Zhe Song, Huiji Gao
2020 IEEE Access  
The actual driving condition and fuel consumption rate gaps between lab and real-world are becoming larger.  ...  As a result, a multifeature fusion clustering algorithm is proposed based on user attention with two main stages. In the first stage, a multi-feature fusion model is developed to evaluate keywords.  ...  Based on the long short-term memory neural network (LSTM NN), they develop a data-driven trajectory model to generate human-like driving trajectories.  ... 
doi:10.1109/access.2020.3035461 fatcat:rt7ejtponrfexigie4cfpt7gd4

Survey on Deep Learning-Based Marine Object Detection

Ruolan Zhang, Shaoxi Li, Guanfeng Ji, Xiuping Zhao, Jing Li, Mingyang Pan, Chunjia Han
2021 Journal of Advanced Transportation  
We present a survey on marine object detection based on deep neural network approaches, which are state-of-the-art approaches for the development of autonomous ship navigation, maritime surveillance, shipping  ...  The large-scale, multiscenario industrialized neural network training is an indispensable link to solve the practical application of marine object detection.  ...  Acknowledgments is work was supported in part by the Fundamental Research Funds for the Central Universities, Grant nos. 3132021130 and 3132019400.  ... 
doi:10.1155/2021/5808206 fatcat:y3epygwit5efxnlhv4hp7uodqy

Research Contribution and Comprehensive Review towards the Semantic Segmentation of Aerial Images Using Deep Learning Techniques

P. Anilkumar, P. Venugopal, Mamoun Alazab
2022 Security and Communication Networks  
Semantic segmentation is a significant research topic for decades and has been employed in several applications.  ...  to be used as a reference for developing the new semantic image segmentation models in the future.  ...  Also, the authors would like to thank the individual copyright holders for consent conceded to incorporate referred figures in this work. 26 Security and Communication Networks  ... 
doi:10.1155/2022/6010912 fatcat:qxoogfb3zneypkh5w3m5p3ts3e

2021 Index IEEE Transactions on Instrumentation and Measurement Vol. 70

2021 IEEE Transactions on Instrumentation and Measurement  
The Author Index contains the primary entry for each item, listed under the first author's name.  ...  ., +, TIM 2021 2500912 Multifeature Selective Fusion Network for Real-Time Driving Scene Parsing.  ...  ., +, TIM 2021 3000413 Multifeature Selective Fusion Network for Real-Time Driving Scene Parsing.  ... 
doi:10.1109/tim.2022.3156705 fatcat:dmqderzenrcopoyipv3v4vh4ry

The Progress of Medical Image Semantic Segmentation Methods for Application in COVID-19 Detection

Amin Valizadeh, Morteza Shariatee, Suresh Manic
2021 Computational Intelligence and Neuroscience  
, multistage and multifeature methods, supervised methods, semiregulatory methods, and nonregulatory methods, are then thoroughly explored in current methods based on the deep neural network.  ...  The traditional method and the published dataset for segmentation are reviewed in the first step.  ...  Acknowledgments e funding sources had no involvement support in the study design, collection, analysis, or interpretation of data, in writing of the manuscript, or in the decision to submit the manuscript for  ... 
doi:10.1155/2021/7265644 pmid:34840563 pmcid:PMC8611358 fatcat:6xsjrgiabjat5c6uinwa2kbyay

Discriminative Dictionary Learning With Motion Weber Local Descriptor for Violence Detection

Tao Zhang, Wenjing Jia, Xiangjian He, Jie Yang
2017 IEEE transactions on circuits and systems for video technology (Print)  
Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective  ...  works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.  ...  team at the Centre for Real-time Information Networks (CRIN) at the University of Technology Sydney.  ... 
doi:10.1109/tcsvt.2016.2589858 fatcat:ashhpyowanah5cw2dk2tzhvv7q

On the applications of multimedia processing to communications

R.V. Cox, B.G. Haskell, Y. LeCun, B. Shahraray, L. Rabiner
1998 Proceedings of the IEEE  
The network is not well suited for sending real-time communication signals, however, such as speech, audio, and video.  ...  The POTS network with signaling, service-oriented data bases, and connections for facsimile devices and PC's via voice-band modems. Fig. 4.  ...  real-time stream.  ... 
doi:10.1109/5.664272 fatcat:yhn4kb3mmbctbbfus7br26oox4

Final Program International Neuropsychological Society 2014 Mid–Year Meeting July 9–11, 2014 Jerusalem, Israel

2014 Journal of the International Neuropsychological Society  
T1-weighted and diffusion tensor images were acquired on a Philips Achieva 3T TX, for all MS patients and 12 of the 27 HC.  ...  Results: This critical review reveals a number of possible approaches for determining region of interest selection and defining connectivity in a network.  ...  The primary methods for selecting network "nodes", or brain regions, remains: 1) anatomical atlases, 2) independent components analysis and 3) seed-based approaches.  ... 
doi:10.1017/s1355617714001003 fatcat:fxr54yuvsnhw5ifqtien2sznb4

Organic Computing

Stefan-Andreas Böhm, Mischa Ahrens, Chandana Priya Nivarthi, Florian Heidecker, Johannes Büttner, Kristina Dingel, Simon Reichhuber, Zhixin Huang, Yujiang He, Sooraj K. Babu, Tuan Pham, Ferdinand Von Tüllenburg (+5 others)
2022
The demand for product individuality increased enormously in recent years and thus affects directly manufacturers and their employees.  ...  Due to the increasing demand for batch-size-one production, every product needs specific manufacturing processes. Usually, employees determine these manufacturing steps with provided product data.  ...  Acknowledgements The project Incident-aware Resilient Traffic Management for Urban Road Networks (InTURN) is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), TO-843/5-1.  ... 
doi:10.17170/kobra-202202215780 fatcat:pgb4gzbxtrhfnpqyvqj37vtgxq

Fast quantitative image processing methods and biological image analysis

Dániel Hillier, Csaba Rekeczky
unpublished
In this study the time evolution of the network was used to drive the learning process.  ...  In [43] Angelini et al. used Comaniciu et al. in [48] presented a robust, real-time information fusion frame- work to track the myocardium of the LV.  ... 
fatcat:uc5q4gwupbb2zcdq5vcchblkbu

Revision-Based Generation of Natural Language Summaries Providing Historical Background: Corpus-Based Analysis, Design, Implementation and Evaluation

Jacques Robin, Columbia University. Computer Science
2017
Automatically summarizing vast amounts of on-line quantitative data with a short natural language paragraph has a wide range of real-world applications.  ...  The second evaluation demonstrates that the revision operations acquired during the corpus analysis and implemented in STREAK are, for the most part, portable to at least one other quantitative domain  ...  parsing.  ... 
doi:10.7916/d83203zf fatcat:nuk3xohy6nd3xgavmigfx2w7a4