no code implementations • 7 May 2024 • Da Fu, Mingfei Rong, Eun-Hu Kim, Hao Huang, Witold Pedrycz
Accurate classification of fine-grained images remains a challenge in backbones based on convolutional operations or self-attention mechanisms.
no code implementations • 8 Apr 2024 • Xu Wu, Xianxu Hou, Zhihui Lai, Jie zhou, Ya-nan Zhang, Witold Pedrycz, Linlin Shen
Low-light image enhancement (LLIE) aims to improve low-illumination images.
no code implementations • 23 Mar 2024 • Jia Wei, Xingjun Zhang, Witold Pedrycz
The originality of BEND comes from the first use of a neural network diffusion model to efficiently build base classifiers for bagging.
no code implementations • 25 Aug 2023 • Yanjie Song, Yutong Wu, Yangyang Guo, Ran Yan, P. N. Suganthan, Yue Zhang, Witold Pedrycz, Swagatam Das, Rammohan Mallipeddi, Oladayo Solomon Ajani. Qiang Feng
Reinforcement learning (RL) integrated as a component in the EA framework has demonstrated superior performance in recent years.
1 code implementation • 23 Jun 2023 • Jie Wang, Zheng Yan, Jiahe Lan, Elisa Bertino, Witold Pedrycz
Among them, the spatial aggregation layer adopts a defense mechanism to robustly aggregate local trust, and the temporal aggregation layer applies an attention mechanism for effective learning of temporal patterns.
no code implementations • 11 Jun 2023 • Saidul Islam, Hanae Elmekki, Ahmed Elsebai, Jamal Bentahar, Najat Drawel, Gaith Rjoub, Witold Pedrycz
Transformer is a deep neural network that employs a self-attention mechanism to comprehend the contextual relationships within sequential data.
no code implementations • 8 Apr 2023 • Yangyang Guo, Hao Wang, Lei He, Witold Pedrycz, P. N. Suganthan, Yanjie Song
The RL-GP adopts the ensemble population strategies.
no code implementations • 5 Mar 2023 • Yanjie Song, P. N. Suganthan, Witold Pedrycz, Junwei Ou, Yongming He, Yingwu Chen, Yutong Wu
By offering guidance for future scientific research and engineering applications, this survey significantly contributes to the advancement of ERL.
no code implementations • 14 Feb 2023 • Dong Li, Shuisheng Zhou, Witold Pedrycz
However, FCM and its many accelerated variants have low efficiency in the mid-to-late stage of the clustering process.
no code implementations • 13 Oct 2022 • Shoaib Azam, Farzeen Munir, Ville Kyrki, Moongu Jeon, Witold Pedrycz
Recent perception systems enhance spatial understanding with sensor fusion but often lack full environmental context.
no code implementations • 5 Sep 2022 • Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang
especially for cohorts with different lung diseases.
no code implementations • 4 Aug 2022 • Xiao Mao, Zhiguang Cao, Mingfeng Fan, Guohua Wu, Witold Pedrycz
Moreover, we also show via an ablation study that our ITS can help achieve a balance between the performance and training efficiency.
no code implementations • 25 Jun 2022 • Jianglin Lu, Jie zhou, Yudong Chen, Witold Pedrycz, Kwok-Wai Hung
Specifically, ATH characterizes the domain distribution gap by the discrepancy between two asymmetric hash functions, and minimizes the feature gap with the help of a novel adaptive bipartite graph constructed on cross-domain data.
no code implementations • 30 Apr 2022 • Cuiying Huo, Dongxiao He, Yawen Li, Di Jin, Jianwu Dang, Weixiong Zhang, Witold Pedrycz, Lingfei Wu
However, the existing contrastive learning methods are inadequate for heterogeneous graphs because they construct contrastive views only based on data perturbation or pre-defined structural properties (e. g., meta-path) in graph data while ignore the noises that may exist in both node attributes and graph topologies.
no code implementations • 4 Apr 2022 • Fangyu Hong, Guohua Wu, Qizhang Luo, Huan Liu, Xiaoping Fang, Witold Pedrycz
Different from the previous urban distribution mode that depends on trucks, this paper proposes a novel package pick-up and delivery mode and system in which multiple drones collaborate with automatic devices.
no code implementations • 20 Mar 2022 • Haichao Zhang, Kuangrong Hao, Witold Pedrycz, Lei Gao, Xuesong Tang, Bing Wei
The high-performance backbone network searched by VTCAS introduces the desirable features of convolutional neural networks into the Transformer architecture while maintaining the benefits of the multi-head attention mechanism.
no code implementations • 23 Dec 2021 • Jun Wan, Hui Xi, Jie zhou, Zhihui Lai, Witold Pedrycz, Xu Wang, Hang Sun
We show that by integrating the BALI fields and SCPA model into a novel self-calibrated pose attention network, more facial prior knowledge can be learned and the detection accuracy and robustness of our method for faces with large poses and heavy occlusions have been improved.
no code implementations • 15 Jul 2021 • Bingjie Li, Guohua Wu, Yongming He, Mingfeng Fan, Witold Pedrycz
Vehicle routing problem (VRP) is a typical discrete combinatorial optimization problem, and many models and algorithms have been proposed to solve the VRP and its variants.
no code implementations • 10 Mar 2021 • Yongming He, Guohua Wu, Yingwu Chen, Witold Pedrycz
This offers a novel and general paradigm that combines RL with OR approaches to solving scheduling problems, which leverages the respective strengths of RL and OR: The MDP narrows down the search space of the original problem through an RL method, while the mixed-integer programming process is settled by an OR algorithm.
1 code implementation • 17 Sep 2020 • Farzeen Munir, Shoaib Azam, Moongu Jeon, Byung-Geun Lee, Witold Pedrycz
Traditional lane detection methods incorporate handcrafted or deep learning-based features followed by postprocessing techniques for lane extraction using frame-based RGB cameras.
Ranked #1 on Lane Detection on DET
1 code implementation • 31 Aug 2020 • Young-min Song, Young-chul Yoon, Kwangjin Yoon, Moongu Jeon, Seong-Whan Lee, Witold Pedrycz
One affinity, for position and motion, is computed by using the GMPHD filter, and the other affinity, for appearance is computed by using the responses from a single object tracker such as a kernalized correlation filter.
no code implementations • 13 Jul 2020 • Aijuan Song, Guohua Wu, Witold Pedrycz
To test the effectiveness of VRS in dealing with NESs, this paper integrates VRS into two existing state-of-the-art EA methods (i. e., MONES and DRJADE), respectively.
no code implementations • 13 Jul 2020 • Baoju Liu, Min Deng, Guohua Wu, Xinyu Pei, Haifeng Li, Witold Pedrycz
It also demonstrates that this method can help to efficiently obtain replanning schemes based on original scheme in dynamic environments.
no code implementations • 2 Jul 2020 • Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu
In the conventional Takagi-Sugeno-Kang (TSK)-type fuzzy models, constant or linear functions are usually utilized as the consequent parts of the fuzzy rules, but they cannot effectively describe the behavior within local regions defined by the antecedent parts.
no code implementations • 20 Jun 2020 • Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou, Shuzhi Sam Ge
G-images refer to image data defined on irregular graph domains.
no code implementations • 1 Jun 2020 • Farzeen Munir, Shoaib Azam, Muhammd Aasim Rafique, Ahmad Muqeem Sheri, Moongu Jeon, Witold Pedrycz
A thermal camera captures an image using the heat difference emitted by objects in the infrared spectrum, and object detection in thermal images becomes effective for autonomous driving in challenging conditions.
no code implementations • 12 May 2020 • Kaijie Xu, Witold Pedrycz, Zhiwu Li, Yinghui Quan, Weike Nie
With the information granules we build a characteristic matrix of the gene data to capture the fluctuation trend of the expression value between consecutive conditions to mine the ideal bi-clusters.
no code implementations • 15 Apr 2020 • Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou
Due to its inferior characteristics, an observed (noisy) image's direct use gives rise to poor segmentation results.
no code implementations • 13 Apr 2020 • Kaijie Xu, Witold Pedrycz, Zhiwu Li
In this paper, to enhance the quality of the degranulation (reconstruction) process, we augment the FCM-based degranulation mechanism by introducing a vector of fuzzification factors (fuzzification factor vector) and setting up an adjustment mechanism to modify the prototypes and the partition matrix.
no code implementations • 3 Apr 2020 • Kaijie Xu, Witold Pedrycz, Zhiwu Li, Mengdao Xing
By proposing the augmented scheme, we dwell on a novel collection of granulation-degranulation mechanisms.
no code implementations • 13 Mar 2020 • Xinwei Wang, Guohua Wu, Lining Xing, Witold Pedrycz
Agile satellites with advanced attitude maneuvering capability are the new generation of Earth observation satellites (EOSs).
no code implementations • 21 Feb 2020 • Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou
Considering these feature sets as data of clustering, an modified FCM algorithm is proposed, which introduces a KL divergence term in the partition matrix into its objective function.
10 code implementations • 16 Feb 2020 • Yeongmin Ko, Younkwan Lee, Shoaib Azam, Farzeen Munir, Moongu Jeon, Witold Pedrycz
In the case of traffic line detection, an essential perception module, many condition should be considered, such as number of traffic lines and computing power of the target system.
Ranked #40 on Lane Detection on CULane
no code implementations • 14 Feb 2020 • Cong Wang, Witold Pedrycz, Zhiwu Li, Mengchu Zhou, Jun Zhao
To further enhance the segmentation effects of the improved FCM algorithm, we also employ the morphological reconstruction to smoothen the labels generated by clustering.
no code implementations • 22 Aug 2019 • Guoliang Feng, Wei Lu, Witold Pedrycz, Jianhua Yang, Xiaodong Liu
Index Terms-Fuzzy cognitive maps (FCMs), maximum entropy, noisy data, rapid and robust learning.
no code implementations • 26 Aug 2018 • Mahardhika Pratama, Witold Pedrycz, Geoffrey I. Webb
DEVFNN is developed under the stacked generalization principle via the feature augmentation concept where a recently developed algorithm, namely gClass, drives the hidden layer.
no code implementations • 6 Nov 2017 • Mahardhika Pratama, Eric Dimla, Edwin Lughofer, Witold Pedrycz, Tegoeh Tjahjowidowo
The paper presents advancement of a newly developed ensemble learning algorithm, pENsemble+, where online active learning scenario is incorporated to reduce operator labelling effort.
no code implementations • 18 May 2017 • Mahardhika Pratama, Witold Pedrycz, Edwin Lughofer
pENsemble adopts a dynamic ensemble structure to output a final classification decision where it features a novel drift detection scenario to grow the ensemble structure.
no code implementations • 15 Mar 2017 • Tien Thanh Nguyen, Xuan Cuong Pham, Alan Wee-Chung Liew, Witold Pedrycz
In this study, we introduce a new approach to combine multi-classifiers in an ensemble system.
no code implementations • 2 Jun 2015 • Nan Zhou, Yangyang Xu, Hong Cheng, Jun Fang, Witold Pedrycz
In this paper, we propose a global and local structure preserving sparse subspace learning (GLoSS) model for unsupervised feature selection.
no code implementations • 28 Jul 2014 • Lorenzo Livi, Alireza Sadeghian, Witold Pedrycz
The one-class classification problem is a well-known research endeavor in pattern recognition.
no code implementations • 14 Jan 2014 • Guohua Wu, Huilin Wang, Haifeng Li, Witold Pedrycz, Dishan Qiu, Manhao Ma, Jin Liu
In this study, we present an adaptive Simulated Annealing based scheduling algorithm aggregated with a dynamic task clustering strategy (or ASA-DTC for short) for satellite observation scheduling problems (SOSPs).