UB Paderborn / Katalog / Suche / in CDI

Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving

IEEE transactions on pattern analysis and machine intelligence, 2024-01, Vol.46 (1), p.267-279

2024

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Places: A 10 Million Image Database for Scene Recognition

IEEE transactions on pattern analysis and machine intelligence, 2018-06, Vol.40 (6), p.1452-1464

2018

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Multimodal Machine Learning: A Survey and Taxonomy

IEEE transactions on pattern analysis and machine intelligence, 2019-02, Vol.41 (2), p.423-443

2019

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Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking

IEEE transactions on pattern analysis and machine intelligence, 2021-05, Vol.43 (5), p.1515-1529

2021

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Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

IEEE transactions on pattern analysis and machine intelligence, 2020-04, Vol.42 (4), p.824-836

2020

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InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

IEEE transactions on pattern analysis and machine intelligence, 2022-04, Vol.44 (4), p.2004-2018

2022

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Explainability in Graph Neural Networks: A Taxonomic Survey

IEEE transactions on pattern analysis and machine intelligence, 2023-05, Vol.45 (5), p.5782-5799

2023

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SpectralGPT: Spectral Remote Sensing Foundation Model

IEEE transactions on pattern analysis and machine intelligence, 2024-08, Vol.46 (8), p.5227-5244

2024

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Representation Learning: A Review and New Perspectives

IEEE transactions on pattern analysis and machine intelligence, 2013-08, Vol.35 (8), p.1798-1828

2013

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Visual Tracking: An Experimental Survey

IEEE transactions on pattern analysis and machine intelligence, 2014-07, Vol.36 (7), p.1442-1468

2014

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Guided Image Filtering

IEEE transactions on pattern analysis and machine intelligence, 2013-06, Vol.35 (6), p.1397-1409

2013

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Video Transformers: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2023-11, Vol.45 (11), p.12922-12943

2023

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Fast Feature Pyramids for Object Detection

IEEE transactions on pattern analysis and machine intelligence, 2014-08, Vol.36 (8), p.1532-1545

2014

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Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

IEEE transactions on pattern analysis and machine intelligence, 2014-06, Vol.36 (6), p.1134-1148

2014

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Learning Compact Binary Face Descriptor for Face Recognition

IEEE transactions on pattern analysis and machine intelligence, 2015-10, Vol.37 (10), p.2041-2056

2015

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Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

IEEE transactions on pattern analysis and machine intelligence, 2013-12, Vol.35 (12), p.2916-2929

2013

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Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases

IEEE transactions on pattern analysis and machine intelligence, 2022-12, Vol.44 (12), p.9477-9488

Tutsoy, Onder

2022

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Learning to Compose and Reason with Language Tree Structures for Visual Grounding

IEEE transactions on pattern analysis and machine intelligence, 2022-02, Vol.44 (2), p.684-696

2022

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Attribute-Based Classification for Zero-Shot Visual Object Categorization

IEEE transactions on pattern analysis and machine intelligence, 2014-03, Vol.36 (3), p.453-465

2014

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SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

IEEE transactions on pattern analysis and machine intelligence, 2012-11, Vol.34 (11), p.2274-2282

2012

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Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

IEEE transactions on pattern analysis and machine intelligence, 2019-01, Vol.41 (1), p.176-189

2019

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Contour Detection and Hierarchical Image Segmentation

IEEE transactions on pattern analysis and machine intelligence, 2011-05, Vol.33 (5), p.898-916

2011

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HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction Via Scene Encoding

IEEE transactions on pattern analysis and machine intelligence, 2023-11, Vol.PP (11), p.1-15

2023

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Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation

IEEE transactions on pattern analysis and machine intelligence, 2023-01, Vol.45 (1), p.329-341

2023

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Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition

IEEE transactions on pattern analysis and machine intelligence, 2017-01, Vol.39 (1), p.102-114

2017

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Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving

Places: A 10 Million Image Database for Scene Recognition

Multimodal Machine Learning: A Survey and Taxonomy

Dynamical Hyperparameter Optimization via Deep Reinforcement Learning in Tracking

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs

Explainability in Graph Neural Networks: A Taxonomic Survey

SpectralGPT: Spectral Remote Sensing Foundation Model

Representation Learning: A Review and New Perspectives

Visual Tracking: An Experimental Survey

Guided Image Filtering

Video Transformers: A Survey

Fast Feature Pyramids for Object Detection

Learning With Augmented Features for Supervised and Semi-Supervised Heterogeneous Domain Adaptation

Learning Compact Binary Face Descriptor for Face Recognition

Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

Pharmacological, Non-Pharmacological Policies and Mutation: An Artificial Intelligence Based Multi-Dimensional Policy Making Algorithm for Controlling the Casualties of the Pandemic Diseases

Learning to Compose and Reason with Language Tree Structures for Visual Grounding

Attribute-Based Classification for Zero-Shot Visual Object Categorization

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

Contour Detection and Hierarchical Image Segmentation

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction Via Scene Encoding

Deep ROC Analysis and AUC as Balanced Average Accuracy, for Improved Classifier Selection, Audit and Explanation

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition

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