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检索条件"机构=Machine Learning and Data Analytics Group"
52 条 记 录,以下是11-20 订阅
排序:
Finding latent causes in causal networks: an efficient approach based on Markov blankets  08
Finding latent causes in causal networks: an efficient appro...
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Proceedings of the 22nd International Conference on Neural Information Processing Systems
作者: Jean-Philippe Pellet André Elisseeff Pattern Recognition and Machine Learning Group Swiss Federal Institute of Technology Zurich Zurich Switzerland and Data Analytics Group IBM Research GmbH Rüschlikon Switzerland Data Analytics Group IBM Research GmbH Rüschlikon Switzerland
Causal structure-discovery techniques usually assume that all causes of more than one variable are observed. This is the so-called causal sufficiency assumption. In practice, it is untestable, and often violated. In t... 详细信息
来源: 评论
Supervised learning for Yaw Orientation Estimation
Supervised Learning for Yaw Orientation Estimation
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International Conference on Indoor Positioning and Indoor Navigation (IPIN)
作者: Tobias Feigl Christopher Mutschler Michael Philippsen Machine Learning and Information Fusion Group Fraunhofer Institute for Integrated Circuits IIS Nuremberg Germany Machine Learning and Data Analytics Lab Friedrich-Alexander University Erlangen-Nürnberg Erlangen Germany Programming Systems Group
With free movement and multi-user capabilities, there is demand to open up Virtual Reality (VR) for large spaces. However, the cost of accurate camera-based tracking grows with the size of the space and the number of ... 详细信息
来源: 评论
Latent space conditioning on generative adversarial networks
arXiv
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arXiv 2020年
作者: Lopez, Ricard Durall Ho, Kalun Pfreundt, Franz-Josef Keuper, Janis Fraunhofer ITWM Germany IWR University of Heidelberg Germany Fraunhofer Center Machine Learning Germany Data and Web Science Group University of Mannheim Germany Institute for Machine Learning and Analytics Offenburg University Germany
Generative adversarial networks are the state of the art approach towards learned synthetic image generation. Although early successes were mostly unsupervised, bit by bit, this trend has been superseded by approaches... 详细信息
来源: 评论
Unmasking DeepFakes with simple features
arXiv
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arXiv 2019年
作者: Durall, Ricard Keuper, Margret Pfreundt, Franz-Josef Keuper, Janis Fraunhofer ITWM Germany IWR University of Heidelberg Germany Fraunhofer Center Machine Learning Germany Data and Web Science Group University Mannheim Germany Institute for Machine Learning and Analytics Offenburg University Germany
Deep generative models have recently achieved impressive results for many real-world applications, successfully generating high-resolution and diverse samples from complex data sets. Due to this improvement, fake digi... 详细信息
来源: 评论
p-value adjustment for monotonous, unbiased, and fast clustering comparison  23
p-value adjustment for monotonous, unbiased, and fast cluste...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Kai Klede Thomas Altstidl Dario Zanca Björn Eskofier Machine Learning and Data Analytics (MaD) Lab Friedrich-Alexander Universität Erlangen-Nürnberg Machine Learning and Data Analytics (MaD) Lab Friedrich-Alexander Universität Erlangen-Nürnberg and Translational Digital Health Group Institute of AI for Health Helmholtz Zentrum München
Popular metrics for clustering comparison, like the Adjusted Rand Index and the Adjusted Mutual Information, are type II biased. The Standardized Mutual Information removes this bias but suffers from counterintuitive ...
来源: 评论
Bayesian Inference of Transition Matrices from Incomplete Graph data with a Topological Prior
arXiv
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arXiv 2022年
作者: Perri, Vincenzo Petrović, Luka V. Scholtes, Ingo Data Analytics Group Department of Informatics University of Zurich Switzerland Machine Learning for Complex Networks Center for Artificial Intelligence and Data Science Julius-Maximilians-Universität Würzburg Germany
Many network analysis and graph learning techniques are based on discrete- or continuous-time models of random walks. To apply these methods, it is necessary to infer transition matrices that formalize the underlying ... 详细信息
来源: 评论
ViPR: Visual-odometry-aided pose regression for 6DoF camera localization
arXiv
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arXiv 2019年
作者: Ott, Felix Feigl, Tobias Löffler, Christoffer Mutschler, Christopher Nürnberg Germany Programming Systems Group FAU Erlangen-Nürnberg Germany Machine Learning and Data Analytics Lab FAU Erlangen-Nürnberg Germany
Visual Odometry (VO) accumulates a positional drift in long-term robot navigation tasks. Although Convolutional Neural Networks (CNNs) improve VO in various aspects, VO still suffers from moving obstacles, discontinuo... 详细信息
来源: 评论
Deep learning algorithms to classify Fitzpatrick skin types for smartphone based NIRS imaging device  15
Deep learning algorithms to classify Fitzpatrick skin types ...
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Next-Generation Spectroscopic Technologies XV 2023
作者: Leizaola, Daniela Sobhan, Masrur Kaile, Kacie Mondal, Ananda Mohan Godavarty, Anuradha Optical Imaging Laboratory Department of Biomedical Engineering Florida International University 10555 W Flagler St MiamiFL33174 United States Machine Learning and Data Analytics Group Knight Foundation School Computing and Information Sciences Florida International University 11200 SW 8th St MiamiFL33199 United States
Non-contact imaging modalities for monitoring wound health could supplement the current standard which is a visual inspection by clinicians. Recently, a smartphone oxygenation tool (SPOT) has been developed for physio... 详细信息
来源: 评论
Convolutional Neural Networks for Position Estimation in TDoA-Based Locating Systems
Convolutional Neural Networks for Position Estimation in TDo...
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International Conference on Indoor Positioning and Indoor Navigation (IPIN)
作者: Arne Niitsoo Thorsten Edelhäußer Christopher Mutschler Machine Learning and Information Fusion Group Fraunhofer Institute for Integrated Circuits IIS Nuremberg Germany Maching Learning and Data Analytics Lab Friedrich-Alexander University Erlangen-Nürnberg (FAU) Erlangen Germany
Object localization and tracking is essential for many applications including logistics and industry. Many local Time-of-Flight (ToF)-based locating systems use synchronized antennas to receive radio signals emitted b... 详细信息
来源: 评论
machine learning algorithms to classify Fitzpatrick skin types during tissue oxygenation mapping
Machine learning algorithms to classify Fitzpatrick skin typ...
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Clinical and Translational Biophotonics, Translational 2022
作者: Kaile, Kacie Sobhan, Masrur Mondal, Ananda Godavarty, Anuradha Department of Biomedical Engineering Optical Imaging Laboratory Florida International University 10555 West Flagler St MiamiFL33174 United States Machine Learning and Data Analytics Group Knight Foundation School of Computing and Information Sciences Florida International University 11200 SW 8th St MiamiFL33199 United States
A machine learning approach is implemented to label different skin tones towards melanin correction of tissue oxygenation maps, when using a smartphone based near-infrared (NIR) imaging device. © 2022 Optica Publ... 详细信息
来源: 评论