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- research-articleJuly 2024
3D surface segmentation from point clouds via quadric fits based on DBSCAN clustering
AbstractExtracting surfaces from 3D point clouds is significant in reconstructing and transforming these discrete points into their corresponding models. Scanned point clouds are often accompanied by noise, and the existing methods mainly rely on local ...
Highlights- A normal estimation method based on neighborhood information reconstruction is proposed to provide reliable feature information for subsequent segmentation.
- A subdivision strategy is designed to extend the DBSCAN clustering algorithm ...
- research-articleDecember 2023
Machine learning prediction of structural dynamic responses using graph neural networks
Computers and Structures (CSTR), Volume 289, Issue CDec 2023https://doi.org/10.1016/j.compstruc.2023.107188Highlights- Proposed a novel machine learning approach based on Graph Neural Networks (GNN) for dynamic response simulation of structures subjected to dynamics loads.
- The proposed GNN can simulate full-field spatiotemporal dynamics, generating ...
Prediction of structural responses is essential for the analysis of structural behaviour subjected to dynamic loads. Existing approaches are limited in different ways. Experimental tests are expensive due to the requirement of intensive labour ...
- research-articleOctober 2023
Learning relationship-preserving representation for multi-task adversarial attacks
AbstractDeep neural networks (DNNs) are susceptible to adversarial samples that are carefully crafted to mislead the DNNs with imperceptible perturbations. To test the robustness of DNNs, attack methods based on adversarial samples have gained ...
- research-articleJanuary 2023
Multi-View Diffusion Process for Spectral Clustering and Image Retrieval
IEEE Transactions on Image Processing (TIP), Volume 322023, Pages 4610–4620https://doi.org/10.1109/TIP.2023.3302517This paper presents a novel approach to multi-view graph learning that combines weight learning and graph learning in an alternating optimization framework. Multi-view graph learning refers to the problem of constructing a unified affinity graph using ...
- research-articleMarch 2022
Experimental Investigation of Ultrasonic Vibration Assisted Drilling of High Volume Fraction SiCp/Al
AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021, Pages 412–417https://doi.org/10.1145/3495018.3495090Silicon carbide particle-reinforced aluminum matrix composite )SiCp/Al( has got increasingly used in industry area. Because of its excellent properties such as low coefficient of thermal expansion, high wear resistance, high specific strength and so on, ...
- research-articleSeptember 2019
Semantics characterization for eye shapes based on directional triangle-area curve clustering
Multimedia Tools and Applications (MTAA), Volume 78, Issue 18Sep 2019, Pages 25373–25406https://doi.org/10.1007/s11042-019-7659-4AbstractIn this paper, we present a novel approach to address the problem of eye shape characterization via curve representation. Firstly, a directional triangle-area curve representation method (DTAR) is presented for this aim. Equipped with DTAR, the ...
- rapid-communicationJuly 2019
Self-reinforced diffusion for graph-based semi-supervised learning
Pattern Recognition Letters (PTRL), Volume 125, Issue CJul 2019, Pages 439–445https://doi.org/10.1016/j.patrec.2019.06.003Highlights- A semi-supervised graph construction method based on self-reinforced diffusion is proposed.
Graph construction is the essential component of graph-based semi-supervised learning. Gaussian kernel weighted graph is widely used in this field. The problem of using such kind of graphs is that they are susceptible to data noise. ...
- research-articleDecember 2018
Affinity learning via a diffusion process for subspace clustering
Pattern Recognition (PATT), Volume 84, Issue CDec 2018, Pages 39–50https://doi.org/10.1016/j.patcog.2018.07.002Highlights- An effective affinity learning method is proposed.
- This approach utilizes the ...
Subspace clustering refers to the problem of finding low-dimensional subspaces (clusters) for high-dimensional data. Current state-of-the-art subspace clustering methods are usually based on spectral clustering, where an affinity ...
- research-articleJanuary 2018
Nonlinear Friction and Dynamical Identification for a Robot Manipulator with Improved Cuckoo Search Algorithm
This paper concerns the problem of dynamical identification for an industrial robot manipulator and presents an identification procedure based on an improved cuckoo search algorithm. Firstly, a dynamical model of a 6-DOF industrial serial robot has ...
- research-articleDecember 2016
Fuzzy based affinity learning for spectral clustering
Pattern Recognition (PATT), Volume 60, Issue CDecember 2016, Pages 531–542https://doi.org/10.1016/j.patcog.2016.06.011Spectral clustering makes use of spectral-graph structure of an affinity matrix to partition data into disjoint meaningful groups. It requires robust and appropriate affinity graphs as input in order to form clusters with desired structures. ...
- research-articleJanuary 2016
From low-level geometric features to high-level semantics: An axiomatic fuzzy set clustering approach
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 31, Issue 22016, Pages 775–786https://doi.org/10.3233/JIFS-169009In this paper, we developed a new method to extract semantic facial descriptions by using an Axiomatic Fuzzy Set (AFS)-based clustering approach. Landmark-based geometry features are first used to represent facial components, and then we developed a new ...
- research-articleJanuary 2016
Semantic facial descriptor extraction via Axiomatic Fuzzy Set
Neurocomputing (NEUROC), Volume 171, Issue CJanuary 2016, Pages 1462–1474https://doi.org/10.1016/j.neucom.2015.07.096In this paper, a semantic facial descriptor extraction method is proposed based on AFS theory with an aim to bridge the semantic gap between the low-level image features and high-level concepts. We first utilize the facial landmark detector to extract ...
- ArticleAugust 2011
The Survey and Future Evolution of Green Computing
GREENCOM '11: Proceedings of the 2011 IEEE/ACM International Conference on Green Computing and CommunicationsAugust 2011, Pages 230–233https://doi.org/10.1109/GreenCom.2011.47The concept of green computing has begun to spread in the past few years, gaining increasing popularity. Besides the widespread sensitivity to ecological issues, such interest also stems from economic needs, since both energy costs and electrical ...
- ArticleJuly 2008
Researches on Key Issues of Mobile Middleware Technology
ICESSSYMPOSIA '08: Proceedings of the 2008 International Conference on Embedded Software and Systems SymposiaJuly 2008, Pages 333–338https://doi.org/10.1109/ICESS.Symposia.2008.51Recent advances in wireless networking technologies and mobile computing devices have engendered a new paradigm of computing, mobile computing. In the meantime, applications on these mobile devices also present some challenges to software designers. In ...
- ArticleJuly 2008
Middleware for Dependable Computing
ICESSSYMPOSIA '08: Proceedings of the 2008 International Conference on Embedded Software and Systems SymposiaJuly 2008, Pages 296–301https://doi.org/10.1109/ICESS.Symposia.2008.50As applications become more distributed and complex, the probability of faults undoubtedly increases. Distributed systems often face some challenges, such as node failure, object crash, network partition, value fault in applications, and so on. To ...