• Suche: "Recognition algorithms"

Treffer 101 - 120 von 1.357

101

A family of recognition algorithms based on the construction of k-dimensional threshold rules
Mirzaev, Olimjon ; Radjabov, Sobirjon ; Mirzaev, Nomaz ; et al.
In Procedia Computer Science 2024 237:610-617

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102

Family of recognition algorithms based on the selection of two-dimensional representative pseudo-objects in the training set
Fazilov, Shavkat ; Mirzaev, Olimjon ; Radjabov, Sobirjon ; et al.
In Procedia Computer Science 2024 234:148-155

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103

Construction of statistical recognition algorithms based on two-dimensional threshold functions
Mirzaev, Olimjon ; Radjabov, Sobirjon ; Mirzaev, Nomaz ; et al.
In Procedia Computer Science 2024 234:123-130

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104

Recognizing 2-Layer and Outer $k$-Planar Graphs
Kobayashi, Yasuaki ; Okada, Yuto ; Wolff, Alexander ; et al.

bandwidth Computational Geometry (... FOS: Computer and inform... XP FPT outer k-planar graphs …
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105

Mirrored conditional random field model for object recognition in indoor environments.
Chen, Haotian ; Sun, Fengchi ; Yuan, Jing ; et al.
Information Sciences. Apr2021, Vol. 552, p291-303. 13p.

RANDOM fields OBJECT recognition algor... BODY-weight-supported tr...
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106

Large-girth roots of graphs
Adamaszek, Anna ; Adamaszek, Michal ; Department of Computer Science and DIMAP ; et al.
27th International Symposium on Theoretical Aspects of Computer Science - STACS 2010. :35-46

Nancy, France Graph roots Graph powers NP-completeness Recognition algorithms ACM: G.: Mathematics of... …
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107

Computing Graph Roots Without Short Cycles
Farzad, Babak ; Lau, Lap Chi ; Le, van Bang ; et al.
26th International Symposium on Theoretical Aspects of Computer Science STACS 2009. :397-408

Freiburg, Germany Graph roots Graph powers Recognition algorithms NP-completeness [INFO.INFO-DM]Computer S... …
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108

Object recognition algorithm based on optimized nonlinear activation function-global convolutional neural network.
An, Feng-Ping ; Liu, Jun-e ; Bai, Lei
Visual Computer. Feb2022, Vol. 38 Issue 2, p541-553. 13p.

OBJECT recognition algor... DEEP learning CONVOLUTIONAL neural net... MACHINE learning NONLINEAR functions EXPONENTIAL functions
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109

An Effective Methodology for Movement Evaluation in Patients with Parkinson’s Disease
Michele Cali ; David Durand ; Jerome Bosche
Computer-Aided Design and Applications. :25-36

0209 industrial biotechn... Parkinson's disease move... 0202 electrical engineer... 02 engineering and techn...
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110

Fine-Grained Ship Recognition Based on Visible and Near-Infrared Multimodal Remote Sensing Images: Dataset, Methodology and Evaluation.
Shiwen Song ; Rui Zhang ; Min Hu ; et al.
Computers, Materials & Continua; 2024, Vol. 79 Issue 3, p5243-5271, 29p

OBJECT recognition algor... EVALUATION methodology FEATURE extraction IMAGE recognition (Compu... REMOTE sensing SHIPS …
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111

YOLO-MFD: Remote Sensing Image Object Detection with Multi-Scale Fusion Dynamic Head.
Zhongyuan Zhang ; Wenqiu Zhu
Computers, Materials & Continua; 2024, Vol. 79 Issue 2, p2547-2563, 17p

OBJECT recognition algor... FEATURE extraction DETECTION alarms ALTITUDES
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112

A Comprehensive Survey on the Investigation of Machine-Learning-Powered Augmented Reality Applications in Education.
Khan, Haseeb Ali ; Jamil, Sonain ; Piran, Md. Jalil ; et al.
Technologies (2227-7080); May2024, Vol. 12 Issue 5, p72, 17p

AUGMENTED reality MACHINE learning OBJECT recognition algor... EVIDENCE gaps CONVOLUTIONAL neural net...
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113

Adaptive Scale and Correlative Attention PointPillars: An Efficient Real-Time 3D Point Cloud Object Detection Algorithm.
Zhai, Xinchao ; Gao, Yang ; Chen, Shiwei ; et al.
Applied Sciences (2076-3417); May2024, Vol. 14 Issue 9, p3877, 18p

POINT cloud OBJECT recognition algor... OPTICAL radar LIDAR OBJECT recognition (Comp... DATA augmentation
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114

3D Point Cloud Dataset of Heavy Construction Equipment.
Park, Suyeul ; Kim, Seok
Applied Sciences (2076-3417); May2024, Vol. 14 Issue 9, p3599, 15p

POINT cloud CONSTRUCTION equipment OBJECT recognition (Comp... OBJECT recognition algor... AUTONOMOUS vehicles DUMP trucks …
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115

Sparse Backdoor Attack Against Neural Networks.
Zhong, Nan ; Qian, Zhenxing ; Zhang, Xinpeng
Computer Journal; May2024, Vol. 67 Issue 5, p1783-1793, 11p

ARTIFICIAL neural networ... ARTIFICIAL intelligence DEEP learning OBJECT recognition algor... IMAGE segmentation
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116

Integrating Drone Imagery and AI for Improved Construction Site Management through Building Information Modeling.
Choi, Wonjun ; Na, Seunguk ; Heo, Seokjae
Buildings (2075-5309); Apr2024, Vol. 14 Issue 4, p1106, 27p

BUILDING sites BUILDING information mod... CONSTRUCTION management OBJECT recognition algor... GENERATIVE adversarial n... OBJECT recognition (Comp...
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117

IMPROVING DETECTION AND LOCALIZATION OF GREEN SEA URCHIN BY ADDING ATTENTION MECHANISMS IN A CONVOLUTIONAL NETWORK.
Ahmed, M. Israk ; Peña-Castillo, Lourdes ; Vardy, Andrew ; et al.
Journal of Ocean Technology; 2024, Vol. 19 Issue 2, p81-97, 17p

OBJECT recognition algor... SEA urchins ECOLOGICAL impact REMOTE submersibles BIOMASS
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118

DETALIZATION OF RECOGNITION ALGORITHMS IN DIAGNOSING PATIENTS AND EVALUATING THEIR EFFECTIVENESS
Shulyak, O. P. ; Mnevets, A. V. ; ELAKPI
Bulletin of Kyiv Polytechnic Institute. Series Instrument Making. :82-89

комплекси ознак... використання резервів... 4. Education розпізнавальні алгоритми... recognition algorithms d... діагностика пацієнтів... …
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119

Foreword.
Abdullah, Luqman Chuah
Pertanika Journal of Science & Technology; Aug2025, Vol. 33 Issue 5, pi-ii, 2p

MICROALGAE SPONGES (Invertebrates) OPEN access publishing SCHOLARLY periodicals GENDER OBJECT recognition algor...
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120

An overview of statistical and neural-based line segmentation methods for offline handwriting recognition task
Technology audit and production reserves; Vol. 1 No. 2(75) (2024): Information and control systems; 14-19
Technology audit and production reserves; Том 1 № 2(75) (2024): Інформаційно-керуючі системи; 14-19

алгоритми розпізнавання... line splitting deep neural networks text detection розбиття на лінії... глибокі нейронні мережі... …
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