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检索条件"机构=Data Analysis and Machine Learning"
199 条 记 录,以下是71-80 订阅
排序:
Acoustic Resonance Recognition of Coins
Acoustic Resonance Recognition of Coins
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IEEE Instrumentation and Measurement Technology Conference
作者: Ivan Kraljevski Frank Duckhorn Yong Chul Ju Constanze Tschoepe Christian Richter Matthias Wolff Cognitive Material Diagnostics Fraunhofer IKTS Cottbus Germany Machine Learning and Data Analysis Fraunhofer IKTS Dresden Germany Chair of Communications Engineering BTU Cottbus-Senftenberg Cottbus Germany
In this study, we compare different machine learning approaches applied to acoustic resonance recognition of coins. Euro-cents and Euro-coins were classified by the sound emerging when throwing the coins onto a hard *...
来源: 评论
YOLO-ICP: Deep learning Integrated Pose Estimation for Bin-Picking of Multiple Objects
YOLO-ICP: Deep Learning Integrated Pose Estimation for Bin-P...
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IEEE SENSORS
作者: Huajian Li Ivan Kraljevski Paul Meyer Constanze Tschöpe Matthias Wolff Cognitive Material Diagnostics Fraunhofer IKTS Cottbus Germany Machine Learning and Data Analysis Fraunhofer IKTS Dresden Germany Chair of Communications Engineering BTU Cottbus-Senftenberg Cottbus Germany
In this paper, we present a novel deep learning-integrated pipeline called YOLO-ICP that aims to estimate the six degree of freedom (6-DoF) pose of objects using RGB-D sensors and does not require pose labels to train... 详细信息
来源: 评论
Forecasting Time Series of Financial Indicators Using Artificial Neural Networks
Forecasting Time Series of Financial Indicators Using Artifi...
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International Conference on Management of Large-Scale System Development (MLSD)
作者: Savostyanov Aleksandr Grineva Natalia Stroeva Ekaterina Department of Data Analysis and Machine Learning Financial University Under the Government of the Russian Federation Moscow Russia Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Moscow Russia
This paper explores the possibility of using several different architectures of artificial neural networks to construct forecasts for financial indicators of a group of countries. The analysis is based on data collect...
来源: 评论
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification
arXiv
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arXiv 2019年
作者: Mortier, Thomas Wydmuch, Marek Dembczyński, Krzysztof Hüllermeier, Eyke Waegeman, Willem Department of Data Analysis and Mathematical Modelling Ghent University Belgium Institute of Computing Science Poznań University of Technology Poland Intelligent Systems and Machine Learning Universität Paderborn Germany
In cases of uncertainty, a multi-class classifier preferably returns a set of candidate classes instead of predicting a single class label with little guarantee. More precisely, the classifier should strive for an opt... 详细信息
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Econometric Modeling of the Company's Intellectual Capital in the Context of Digitalization
Econometric Modeling of the Company's Intellectual Capital i...
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International Conference on Management of Large-Scale System Development (MLSD)
作者: Natalia Grineva Svetlana Mikhailova Natalia Kontsevaya Department of Data Analysis and Machine Learning Financial University Under the Government of the Russian Federation Moscow Russia Department of Mathematics Financial University Under the Government of the Russian Federation Moscow Russia
An approach to assessing the value of intellectual capital has been developed. Models demonstrating the impact of intellectual capital and its components on the financial performance of companies implementing a digita...
来源: 评论
Convolutional Autoencoders for Health Indicators Extraction in Piezoelectric Sensors
Convolutional Autoencoders for Health Indicators Extraction ...
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IEEE Sensors
作者: Ivan Kraljevski Frank Duckhorn Constanze Tschoepe Matthias Wolff Cognitive Material Diagnostics Fraunhofer IKTS Cottbus Germany Machine Learning and Data Analysis Fraunhofer IKTS Dresden Germany Chair of Communications Engineering BTU Cottbus-Senftenberg Cottbus Germany
We present a method for extracting health indicators from piezoelectric sensors applied in the case of microfluidic valves. Convolutional autoencoders were used to train a model on the normal operating conditions and ... 详细信息
来源: 评论
Combining Computer Vision and Word Processing to Classify Film Genres
Combining Computer Vision and Word Processing to Classify Fi...
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Digital Signal Processing and its Applications (DSPA), International Conference on
作者: Nikita Andriyanov Vitaly Dementev Data Analysis and Machine Learning Department Financial University under the Government of the Russian Federation Moscow Russia Radio Engineering Telecommunications and Information Security Department Ulyanovsk State Technical University Ulyanovsk Russia
The paper investigates various deep learning approaches for classifying movies by genre. To prepare the initial dataset, a system for parsing textual information and images from the Internet Movie database, IMDB (http... 详细信息
来源: 评论
Comparison of MS Custom Vision Auto machine learning with Algorithms Implementation Methods
Comparison of MS Custom Vision Auto Machine Learning with Al...
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Wave Electronics and its Application in Information and Telecommunication Systems (WECONF)
作者: Nikita Andriyanov Yulia Kamalova Vitaly Dementiev Data Analysis and Machine Learning Department Financial University Under the Government of the Russian Federation Moscow Russia Radio Engineering Telecommunications and Information Protection Department Ulyanovsk State Technical University Ulyanovsk Russia
This study is devoted to the acquaintance, application, and implementation of computer vision models in the automated Microsoft Custom Vision service, as well as comparing the results of such models with the results o...
来源: 评论
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
Object Detection in 3D Point Clouds via Local Correlation-Aw...
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International Conference on Informatics, Electronics & Vision (ICIEV)
作者: Chengzhi Wu Julius Pfrommer Jürgen Beyerer Kangning Li Boris Neubert Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Fraunhofer Center for Machine Learning Fraunhofer IOSB Karlsruhe Germany Institute for Visualization and Data Analysis Karlsruhe Institute of Technology Karlsruhe Germany
We present an improved approach for 3D object detection in point clouds data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed method considers the point neighborhood ... 详细信息
来源: 评论
Object Detection in 3D Point Clouds via Local Correlation-Aware Point Embedding
arXiv
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arXiv 2023年
作者: Wu, Chengzhi Pfrommer, Julius Beyerer, Jürgen Li, Kangning Neubert, Boris Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany Fraunhofer Center for Machine Learning Fraunhofer IOSB Karlsruhe Germany Institute for Visualization and Data Analysis Karlsruhe Institute of Technology Karlsruhe Germany
We present an improved approach for 3D object detection in point clouds data based on the Frustum PointNet (F-PointNet). Compared to the original F-PointNet, our newly proposed method considers the point neighborhood ... 详细信息
来源: 评论