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Decentralized Tribrid Adaptive Control Strategy for Simultaneous Formation and Flocking Configurations of Multi-agent System
2022
International Journal of Advanced Computer Science and Applications
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This paper focuses on the development of a tribrid control strategy for leader-follower flocking of multi-agents in octagonal polygonal formation. ...
While the RL for multi-agent polygonal formation addresses the issues of scalability, the centralized strategy maintains the inter-agent distance in the formation and the decentralized strategy reduces ...
Velocity Consensus of Multi-Agents for the Case 2.
Fig. 13 . 13 Fig. 13. Trajectory Tracking by Agents in a Closer View using Tribrid Control Strategy for the Case 2.
Fig. 14 . 14 Fig. 14. ...
doi:10.14569/ijacsa.2022.0130634
fatcat:nomwqvwacrbvdbu34ou5jmbtlm
Toward multi-target self-organizing pursuit in a partially observable Markov game
[article]
2022
arXiv
pre-print
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This work proposes a framework for decentralized multi-agent systems to improve intelligent agents' search and pursuit capabilities. ...
FSC2 includes a coordinated multi-agent deep reinforcement learning method that enables homogeneous agents to learn natural SOS patterns. ...
Second, for the multi-target self-organized pursuit (SOP), we implemented the environment ourselves for more compact code. ...
arXiv:2206.12330v2
fatcat:dhnihxts6bh3xcgxtqz23kljfm
2021 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 43
2022
IEEE Transactions on Pattern Analysis and Machine Intelligence
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
., +, TPAMI July 2021 2510-2523 Learning systems Multi-View Representation Learning With Deep Gaussian Processes. ...
., +, TPAMI Sept. 2021 3005-3023 Robust Multi-Task Learning With Flexible Manifold Constraint. ...
doi:10.1109/tpami.2021.3126216
fatcat:h6bdbf2tdngefjgj76cudpoyia
Online object recognition by MSER trajectories
2008
Pattern Recognition (ICPR), Proceedings of the International Conference on
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This work presents a robust online learning and recognition system. ...
The proposed method is evaluated on realistic video sequences which prove the increased performance for robust online recognition. The whole system runs at a frame rate of 9 fps on a standard PC. ...
In our system training is handled by a tracking algorithm which pursuits and learns the visible sides of an object. ...
doi:10.1109/icpr.2008.4761604
dblp:conf/icpr/RiemenschneiderDB08
fatcat:r7fwkrwuqzgi7esixafz4xp5b4
End-to-End Eye Movement Detection Using Convolutional Neural Networks
[article]
2016
arXiv
pre-print
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We further introduce a novel multi-participant dataset that contains scripted and free-viewing sequences of ground-truth annotated saccades, fixations, and smooth pursuits. ...
We propose a novel approach for eye movement detection that only involves learning a single detector end-to-end, i.e. directly from the continuous gaze data stream and simultaneously for different eye ...
Second, we introduce a novel multi-participant dataset that contains a diverse set of scripted and free-viewing sequences of saccades, fixations, and smooth pursuits. ...
arXiv:1609.02452v1
fatcat:tecalx45dzctvmyks3g5ib7m7y
Dictionary Learning for Stereo Image Representation
2011
IEEE Transactions on Image Processing
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A maximum-likelihood (ML) method for learning stereo dictionaries is then proposed, where a multi-view geometry constraint is included in the probabilistic model. ...
The resulting dictionaries provide better performance in the joint representation of stereo omnidirectional images as well as improved multi-view feature matching. ...
ACKNOWLEDGMENT The authors would like to thank the members of the Redwood Center for Theoretical Neuroscience at UC Berkeley, for the fruitful discussions on ML dictionary learning. ...
doi:10.1109/tip.2010.2081679
pmid:20889431
fatcat:5pupffvotbefza2lwybyw2usqi
2019 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 29
2019
IEEE transactions on circuits and systems for video technology (Print)
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., +, TCSVT Oct. 2019 3083-3094
Image watermarking
Random Matching Pursuit for Image Watermarking. ...
., +, TCSVT Oct. 2019 2972-2985 Weak to Strong Detector Learning for Simultaneous Classification and Localization. ...
doi:10.1109/tcsvt.2019.2959179
fatcat:2bdmsygnonfjnmnvmb72c63tja
Template-Based and Template-Free Approaches in Cellular Cryo-Electron Tomography Structural Pattern Mining
[chapter]
2019
Computational Biology
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Template-based, supervised deep learning-based and template-free approaches are introduced in detail. Examples of recent biological and medical applications and future perspectives are provided. ...
Consequently, structural pattern mining (a.k.a. visual proteomics) needs to be performed to detect, identify and recover different sub-cellular components and their spatial organization in a systematic fashion for ...
De novo structural pattern mining via multi-pattern pursuit A framework called multi-pattern pursuit (MPP) was designed for discovering frequently occurred structural patterns in Cryo-ET (3). ...
doi:10.15586/computationalbiology.2019.ch11
fatcat:klvrpw5fgjeyfl6jvzwie7qs24
Introduction to the Issue on Robust Subspace Learning and Tracking: Theory, Algorithms, and Applications
2018
IEEE Journal on Selected Topics in Signal Processing
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Thus, the most commonly used subspace clustering algorithms, i.e. sparse SC (SSC), SSC-Orthogonal Matching Pursuit (SSC-OMP), and thresholding based SC (TSC) are investigated in terms of robustness to ...
efficient denoising techniques for multi-frame images and video. ...
doi:10.1109/jstsp.2018.2879245
fatcat:z3ohqdl37nat3pjo65fzsf2ady
Robust Registration of Multi-modal Medical Images Using Huber's Criterion
2020
2020 54th Asilomar Conference on Signals, Systems, and Computers
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Registration of multi-modal medical images is an essential pre-processing step, for example, for fusion or image guided-interventions. ...
Robustness is achieved using Huber's loss function for the data fidelity and regularization terms. ...
CONCLUSION This paper has presented a robust method for the registration of multi-modal images. ...
doi:10.1109/ieeeconf51394.2020.9443321
fatcat:5f46itzo7na7rah5dwpmqjycu4
Joint Supervised Dictionary and Classifier Learning for Multi-view SAR Image Classification
2019
IEEE Access
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A new multi-view sparse representation classification (SRC) algorithm based on joint supervised dictionary and classifier learning (MSRC-JSDC) is proposed for synthetic aperture radar (SAR) image classification ...
A new sparse constraint is introduced into multi-view sparse representation procedure so that both inner correlation and complementary information among multiple views can be extracted. ...
ACKNOWLEDGMENT The authors would like to appreciate the editor and all reviewers for their valuable suggestions and constructive comments. ...
doi:10.1109/access.2019.2953366
fatcat:3xnudh3hwrhl3iwkp4nknx3zf4
Multiple-view object recognition in band-limited distributed camera networks
2009
2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)
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The ability to perform robust object recognition is crucial for applications such as visual surveillance to track and identify objects of interest, and compensate visual nuisances such as occlusion and ...
On the base station, we study multiple decoding schemes to simultaneously recover the multiple-view object features based on the distributed compressive sensing theory. ...
The authors thank Kirak Hong and Posu Yan of the University of California, Berkeley, for the implementation of the SURF function on the Berkeley CITRIC camera platform. ...
doi:10.1109/icdsc.2009.5289410
dblp:conf/icdsc/YangMCDMS09
fatcat:bix4xkfofjfd5ccd6pjdk4fhka
Table of Contents
2021
IEEE Transactions on Signal Processing
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Sun Differentiable Bi-Sparse Multi-View Co-Clustering . . . . . . . . . . . . . . . . . . . . . S. Du, Z. Liu, Z. Chen, W. Yang, and S. ...
Fathallah-Shaykh Generalized Multiview Shared Subspace Learning Using View Bootstrapping . . . . . . K. Somandepalli and S. ...
doi:10.1109/tsp.2021.3136800
fatcat:zhf46mb3rbdlnnh3u2xizgxof4
Unsupervised Feature Learning for RGB-D Image Classification
[chapter]
2015
Lecture Notes in Computer Science
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Implementing commonly used local contrast normalization and spatial pooling, we gradually enhance our network to be resilient to local variance resulting in a robust image representation for RGB-D image ...
Hence, it is more efficient for image representation. ...
We followed the standard experimental setting of [12] to combine the RGB images with the depth images as input for the unsupervised learning. (3) Hierarchical Matching Pursuit with sparse coding (HMP-S ...
doi:10.1007/978-3-319-16865-4_18
fatcat:zukahvjhenfsnfson4y3bpbrem
A New Face Recognition Algorithm based on Dictionary Learning for a Single Training Sample per Person
2015
Procedings of the British Machine Vision Conference 2015
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This paper proposes a new method for the STSPP problem in FR, namely the Learn-Generate-Classify (LGC) method. ...
We verified the effectiveness of the new LGC method on the CMU Multi-pie database, with different illumination, expression and pose variation factors. ...
It involves a sparse coding state using a pursuit algorithm, such as Orthogonal Matching Pursuit (OMP) [16] or the FOCal Underdetermined System Solver (FOCUSS) [4] , followed by an update of the dictionary ...
doi:10.5244/c.29.69
dblp:conf/bmvc/LiuW15
fatcat:ilo473iiujdjtlfrjjtkc6uace
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