Search Results - C-LS algorithm

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  1. 1

    Coupled-least-squares identification for multivariable systems by Ding, Feng

    ISSN: 1751-8644, 1751-8652
    Published: Stevenage The Institution of Engineering and Technology 01.01.2013
    Published in IET control theory & applications (01.01.2013)
    “…) algorithm for estimating the parameters of the multiple linear regression models. The analysis indicates that the C-LS algorithm does not involve the matrix inversion…”
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    Journal Article
  2. 2

    Contrastive Learning Framework With Cross-Sensor Adaptive Signal Representation for Fault Diagnosis by He, Wenbin, Mao, Jianxu, Wang, Yaonan, Li, Zhe, Zhang, Hui

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: United States IEEE 01.10.2025
    “… In the first stage, an adaptive contrastive algorithm is proposed to generate contrastive samples (C-Ss…”
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  3. 3

    Generation algorithm for multilevel LS codes by GARCIA, E, GARCIA, J. J, URENA, J, PEREZ, M. C, HERNANDEZ, A

    ISSN: 0013-5194, 1350-911X
    Published: Stevenage Institution of Engineering and Technology 14.10.2010
    Published in Electronics letters (14.10.2010)
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  4. 4

    Multiplication-free iterative algorithm for LS problem by Zakharov, Y.V., Tozer, T.C.

    ISSN: 0013-5194, 1350-911X
    Published: 29.04.2004
    Published in Electronics letters (29.04.2004)
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  5. 5

    Modelling Sediment Input to Surface Waters for German States with MEPhos: Methodology, Sensitivity and Uncertainty by Tetzlaff, Björn, Wendland, Frank

    ISSN: 0920-4741, 1573-1650
    Published: Dordrecht Springer Netherlands 01.01.2012
    Published in Water resources management (01.01.2012)
    “…Soil erosion on arable land and on steep vineyards is a major problem in the state of Hesse (21,115 km²) in central Germany. The aim of a joint study between…”
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  6. 6

    An Iterative Algorithm for the Generalized Reflexive Solution Group of a System of Quaternion Matrix Equations by Jiang, Jing, Li, Ning

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 01.04.2022
    Published in Symmetry (Basel) (01.04.2022)
    “…In the present paper, an iterative algorithm is proposed for solving the generalized (P,Q…”
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  7. 7

    Comparison of Segmentation Methods for Melanoma Diagnosis in Dermoscopy Images by Silveira, M., Nascimento, J.C., Marques, J.S., Marcal, A.R.S., Mendonca, T., Yamauchi, S., Maeda, J., Rozeira, J.

    ISSN: 1932-4553, 1941-0484
    Published: New York IEEE 01.02.2009
    “… (gradient vector flow (GVF) and the level set method of Chan et al.[(C-LS)]. It also includes a set of methods developed by the authors which were tailored to this particular application…”
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  8. 8

    Deterministic monotone algorithms for scheduling on related machines by Ambrosio, Pasquale, Auletta, Vincenzo

    ISSN: 0304-3975, 1879-2294
    Published: Elsevier B.V 31.10.2008
    Published in Theoretical computer science (31.10.2008)
    “… ; algorithm List Scheduling ( LS), instead, is monotone only for c > 2 . In the case of m > 2 machines we restrict our attention to the class of “greedy…”
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  9. 9

    Multiplication-free iterative algorithm for LS problem by Zakharov, Y V, Tozer, T C

    ISSN: 0013-5194, 1350-911X
    Published: Stevenage John Wiley & Sons, Inc 29.04.2004
    Published in Electronics letters (29.04.2004)
    “… A novel multiplication-free and division-free iterative technique, the dichotomous co-ordinate descent algorithm, which guarantees convergence to the true solution…”
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  10. 10

    Improved approximate QR-LS algorithms for adaptive filtering by Chan, S.C., Yang, X.X.

    ISSN: 1549-7747, 1558-3791
    Published: New York IEEE 01.01.2004
    “…This paper studies a class of O(N) approximate QR-based least squares (A-QR-LS) algorithm recently proposed by Liu in 1995…”
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  11. 11

    Generation algorithm for multilevel LS codes by Garcia, E, Garcia, J J, Urena, J, Perez, M C, Hernandez, A

    ISSN: 0013-5194, 1350-911X
    Published: Stevenage John Wiley & Sons, Inc 14.10.2010
    Published in Electronics letters (14.10.2010)
    “…A new generation algorithm for multilevel loosely synchronised (MLS) codes based on two complementary pairs of sequences is proposed…”
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    Journal Article
  12. 12

    Méthodes multi-objectifs pour l’ordonnancement de lignes réentrantes by Dugardin, Frédéric, Amodeo, Lionel, Yalaoui, Farouk

    ISSN: 1246-0125, 2116-7052
    Published: Routledge Taylor & Francis Group 18.04.2012
    Published in Journal of decision systems (18.04.2012)
    “… We present the results obtained by a multi-objective ant colony algorithm with local search (MOACS-LS…”
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  13. 13

    Utilizing Joint Routing and Capacity Assignment Algorithms to Achieve Inter- and Intra-Group Delay Fairness in Multi-Rate Multicast Wireless Sensor Networks by Lin, Frank, Hsiao, Chiu-Han, Lin, Leo, Wen, Yean-Fu

    ISSN: 1424-8220, 1424-8220
    Published: Switzerland MDPI AG 01.03.2013
    Published in Sensors (Basel, Switzerland) (01.03.2013)
    “…Recent advance in wireless sensor network (WSN) applications such as the Internet of Things (IoT) have attracted a lot of attention. Sensor nodes have to…”
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  14. 14

    Lossy compression of infrared videos in WEST (W Environment in Steady-state Tokamak) by Moncada, Victor, Courtois, Xavier, Dubus, Leo, Mitteau, Raphael

    ISSN: 1089-7623, 1089-7623
    Published: United States 01.04.2024
    Published in Review of scientific instruments (01.04.2024)
    “…, and especially offline access to infrared videos made the use of a compression algorithm mandatory…”
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  15. 15

    Deep-Learning-Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks by Jiang, Feibo, Wang, Kezhi, Dong, Li, Pan, Cunhua, Xu, Wei, Yang, Kun

    ISSN: 2327-4662, 2327-4662
    Published: Piscataway IEEE 01.07.2020
    Published in IEEE internet of things journal (01.07.2020)
    “…) framework where a large-scale path-loss fuzzy c-means (LS-FCM) algorithm is first proposed and used to predict the optimal positions of GVs and UAVs…”
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  16. 16

    Recursive estimation of fourth-order cumulants with application to identification by Dembélé, Doulaye, Favier, Gérard

    ISSN: 0165-1684, 1872-7557
    Published: Amsterdam Elsevier B.V 01.07.1998
    Published in Signal processing (01.07.1998)
    “… We also present a least-squares form of the C( Q, k) algorithm based on the use of this recursive…”
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  17. 17

    Online estimation of battery equivalent circuit model parameters and state of charge using decoupled least squares technique by Zhang, Cheng, Allafi, Walid, Dinh, Quang, Ascencio, Pedro, Marco, James

    ISSN: 0360-5442, 1873-6785
    Published: Oxford Elsevier Ltd 01.01.2018
    Published in Energy (Oxford) (01.01.2018)
    “…Battery equivalent circuit models (ECMs) are widely employed in online battery management applications. The model parameters are known to vary according to the…”
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  18. 18

    Lossless compression of hyperspectral images using hybrid context prediction by Liang, Yuan, Li, Jianping, Guo, Ke

    ISSN: 1094-4087, 1094-4087
    Published: United States 26.03.2012
    Published in Optics express (26.03.2012)
    “…In this letter a new algorithm for lossless compression of hyperspectral images using hybrid context prediction is proposed…”
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  19. 19

    A distributed particle filtering approach for multiple acoustic source tracking using an acoustic vector sensor network by Zhong, Xionghu, Mohammadi, Arash, Premkumar, A.B., Asif, Amir

    ISSN: 0165-1684, 1872-7557
    Published: Elsevier B.V 01.03.2015
    Published in Signal processing (01.03.2015)
    “…) algorithms have been developed to localize an acoustic source by using a distributed acoustic vector sensor (AVS) array…”
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  20. 20

    Multiclass maximum margin clustering via immune evolutionary algorithm for automatic diagnosis of electrocardiogram arrhythmias by Zhu, Bohui, Ding, Yongsheng, Hao, Kuangrong

    ISSN: 0096-3003, 1873-5649
    Published: Elsevier Inc 15.01.2014
    Published in Applied mathematics and computation (15.01.2014)
    “…Maximum margin clustering algorithm can obtain outstanding clustering performance by finding the maximum margin hyperplanes between clusters that can separate the data from different classes in an unsupervised way…”
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