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- research-articleMarch 2024
Immersive Multimedia Service Caching in Edge Cloud with Renewable Energy
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), Volume 20, Issue 6Article No.: 173, Pages 1–23https://doi.org/10.1145/3643818Immersive service caching, based on the intelligent edge cloud, can meet delay-sensitive service requirements. Although numerous service caching solutions for edge clouds have been designed, they have not been well explored. Moreover, to the best of our ...
- research-articleMarch 2023
A three-stage GAN model based on edge and color prediction for image outpainting
Expert Systems with Applications: An International Journal (EXWA), Volume 214, Issue Chttps://doi.org/10.1016/j.eswa.2022.119136Highlights- A novel three-stage image outpainting model is proposed.
- The model predicts ...
Human beings have a natural ability to perceive invisible things around them based on materials. This paper examines the problems encountered during image outpainting, which is widely utilized in computational photography, image ...
- research-articleAugust 2020
A Light-Weight Object Detection Framework with FPA Module for Optical Remote Sensing Imagery
HPCCT & BDAI '20: Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference & 2020 3rd International Conference on Big Data and Artificial IntelligencePages 109–115https://doi.org/10.1145/3409501.3409545With the development of remote sensing technology, the acquisition of remote sensing images is easier and easier, which provides sufficient data resources for the task of detecting remote sensing objects. However, how to detect objects quickly and ...
- rapid-communicationFebruary 2020
Progressive generative adversarial networks with reliable sample identification
Pattern Recognition Letters (PTRL), Volume 130, Issue CPages 91–98https://doi.org/10.1016/j.patrec.2019.01.007Highlights- We propose a principled model to alleviate the unstable problem of training GANs.
Generative Adversarial Networks (GANs) are deep neural network architectures comprising of two neural networks, namely discriminator and generator, which contest with each other in a zero-sum game. In the past years, although original ...
- research-articleDecember 2019
A faster convergence and concise interpretability TSK fuzzy classifier deep-wide-based integrated learning
AbstractHierarchical TSK fuzzy system was proposed to approach the exponential growth of IF-THEN rules which named “fuzzy rule explosion”. However, it could not get better performance in few layers for instability of TSK fuzzy system, such ...
Highlights- We proposed a fuzzy classification based on deep-wide integrated learning.
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- ArticleNovember 2018
Asymmetrical Reverse Connection and Smooth-NMS for Object Detection
AbstractIn this paper, we propose a new network structure, a more efficient object detection framework. Inspired by the original RON, we also joint the region-based and region-free methodologies of object detection. There is a lifting space in the ...
- research-articleApril 2018
A novel localized and second order feature coding network for image recognition
Pattern Recognition (PATT), Volume 76, Issue CPages 339–348https://doi.org/10.1016/j.patcog.2017.10.039Wepropose an end-to-end model called localized and second-order VLAD Network (LSO-VLADNet) for image recognition.The proposed network uses an end-to-end dimension reduction layer to ensure the learned feature has low dimension.The back-propagation ...
- research-articleJanuary 2018
Discriminative dictionary pair learning based on differentiable support vector function for visual recognition
Neurocomputing (NEUROC), Volume 272, Issue CPages 306–313https://doi.org/10.1016/j.neucom.2017.07.003Sparse representation and discriminative dictionary learning (DDL) algorithm has become a widely-used model in visual recognition systems, and various discrimination terms are introduced into the DDL models to enhance the discriminative ability and the ...
- short-paperOctober 2016
On-surface wireless-assisted opportunistic routing for underwater sensor networks
WUWNet '16: Proceedings of the 11th International Conference on Underwater Networks & SystemsArticle No.: 43, Pages 1–5https://doi.org/10.1145/2999504.3001102The harsh environment in the water has imposed challenges for underwater sensor networks (USNs), which collect the sensed data from the underwater sensors to the sink on land. The time-varying underwater acoustic channel has low band-width and high bit ...
- research-articleOctober 2016
Parameter Estimation of Wideband Underwater Acoustic Multipath Channels based on Fractional Fourier Transform
IEEE Transactions on Signal Processing (TSP), Volume 64, Issue 20Pages 5396–5408https://doi.org/10.1109/TSP.2016.2582466Because of relative motion between transmitter and receiver, the wideband underwater acoustic multipath channel can be more accurately described by a multi-scale multi-lag (MSML) model. The signal components received from different paths can be ...
- research-articleFebruary 2016
Pathwise component descent method with MC+ penalty for low rank matrix recovery
Pattern Recognition Letters (PTRL), Volume 71, Issue CPages 52–58https://doi.org/10.1016/j.patrec.2015.12.010A new algorithm for low rank matrix recovery.Our algorithm can avoid getting trapped into a bad local minimum.Provide convergence guarantee for the proposed algorithm.Numerical results on matrix completion show superiority. We consider the low rank ...
- research-articleJanuary 2016
Generalized non-convex non-smooth sparse and low rank minimization using proximal average
Neurocomputing (NEUROC), Volume 174, Issue PBPages 1116–1124https://doi.org/10.1016/j.neucom.2015.10.037In this paper, we propose a general framework and a corresponding algorithm that are suitable for a wide class of problems with sparse regularizer and low rank regularizer. The framework allows the regularizers to be composite, non-convex and non-smooth,...
- research-articleOctober 2015
FRFT-based Parameter Estimation of Time-varying Wideband Underwater Acoustic Multipath Channels
WUWNet '15: Proceedings of the 10th International Conference on Underwater Networks & SystemsArticle No.: 9, Pages 1–8https://doi.org/10.1145/2831296.2831304The time-varying property and wideband nature are considered as the most difficult challenges of the underwater acoustic channels. Due to the low propagation speed of the sound, the relative motion between the transmitter and receiver can result in ...
- research-articleOctober 2015
Quasi-clean Speech Construction Based Speech Quality Evaluation under Complex Environments
2015 IEEE International Conference on Systems, Man, and CyberneticsPages 2761–2765https://doi.org/10.1109/SMC.2015.482Objective evaluation of speech quality for complex environments is a main part of the quality of communications service. Usually, intrusive approaches outperform non-intrusive approaches because reference is used in the intrusive ones. This paper ...
- research-articleSeptember 2015
Accelerated reweighted nuclear norm minimization algorithm for low rank matrix recovery
Signal Processing (SIGN), Volume 114, Issue CPages 24–33https://doi.org/10.1016/j.sigpro.2015.02.004In this paper we propose an accelerated reweighted nuclear norm minimization algorithm to recover a low rank matrix. Our approach differs from other iterative reweighted algorithms, as we design an accelerated procedure which makes the objective ...
- articleAugust 2015
Rate Allocation Based on Coalition Formation Game in Low Power Collaborative Transmission
Wireless Personal Communications: An International Journal (WPCO), Volume 83, Issue 3Pages 1699–1711https://doi.org/10.1007/s11277-015-2471-6To realize collaborative transmission in wireless overlay access networks, the question of rate allocation arises as how to divide the traffic flow among heterogeneous networks. Different networks role as game players and they try to transmit the ...
- articleJanuary 2015
Hydrolysis of straw in ionic liquids with acid as catalyst under microwave irradiation
Journal of Nanomaterials (NANO), Volume 2015Article No.: 6, Page 6https://doi.org/10.1155/2015/709247With ionic liquids as solvents and corn straw as raw material, different processes of lignocellulose pretreatment with acid as catalyst were studied under conventional heating/microwave irradiation and the reducing sugar was measured. The results ...
- research-articleJanuary 2015
Mixed modified weighted bit‐flipping decoding of low‐density parity‐check codes
In this study, a new weighted bit‐flipping (WBF) algorithm called mixed modified WBF (MM‐WBF) decoding is proposed for low‐density parity‐check codes. The new algorithm is built by mixing two WBF algorithms, one acting as the main decoding algorithm and ...
- tutorialNovember 2014
On the Estimation of Underwater Acoustic Channel Delay-Scale Spreading Function
WUWNet '14: Proceedings of the 9th International Conference on Underwater Networks & SystemsArticle No.: 36, Pages 1–2https://doi.org/10.1145/2671490.2674596The delay-scale spreading function of a channel depicts the the effect of multipath delays and temporal/spectral scale changes to the transmitted signal. The underwater acoustic channel is suitable to be modeled as a delay-scale time-varying channel. In ...
- articleFebruary 2014
Utility-optimal cross-layer resource allocation in distributed wireless cooperative networks
International Journal of Communication Systems (IJOCS), Volume 27, Issue 2Pages 277–288https://doi.org/10.1002/dac.2360In this paper, we propose a distributed cross-layer resource allocation algorithm for wireless cooperative networks based on a network utility maximization framework. The algorithm provides solutions to relay selections, flow pass probabilities, ...