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Papers matching “feature discriminability” 32

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Optimized feature space learning for generating efficient binary codes for image retrieval
2021 Signal Processing Image Communication article Computer Science Advanced Image and Video Retrieval Techniques Open access

Abin Jose, Erik Stefan Ottlik, Christian Rohlfing, Jens-Rainer Ohm

8

citations
Interpolative Metric Learning for Few-Shot Specific Emitter Identification
2023 IEEE Transactions on Vehicular Technology article Computer Science Wireless Signal Modulation Classification

Cheng Wang, Xue Gang Fu, Yu Wang, Guan Gui, Haris Gacanin, Hikmet Sari, +1 more

48

citations
Large-scale extraction of interpretable features provides new insights into kidney histopathology – A proof-of-concept study
2022 Journal of Pathology Informatics article Computer Science AI in cancer detection Open access

Barbara M. Klinkhammer, Claudia Seikrit, Nassim Bouteldja, Philipp Gräbel, Michael Gadermayr, Peter Boor, +1 more

11

citations
Integrating information theory and adversarial learning for cross-modal retrieval
2021 Pattern Recognition article Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

32

citations
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval
2021 arXiv (Cornell University) preprint Computer Science Multimodal Machine Learning Applications Open access

Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

0

citations
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection
2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Computer Science Anomaly Detection Techniques and Applications Open access cited by 5 patents

Oliver Rippel, Patrick Mertens, Dorit Merhof

261

citations
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
2020 ACM International Conference on Multimedia (ACM MM) conference-paper Computer Science Video Surveillance and Tracking Methods Open access

Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

96

citations
Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification
2020 arXiv (Cornell University) preprint Computer Science Video Surveillance and Tracking Methods Open access

Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew

6

citations
Linear Discriminant Analysis Metric Learning Using Siamese Neural Networks
2022 Proceedings - International Conference on Image Processing conference-paper Computer Science Face and Expression Recognition

Abin Jose, Dennis Eschweiler, Ina Laube, Johannes Stegmaier

2

citations
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
2020 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

Patrick von Platen, Fei Tao, Gökhan Tür

8

citations
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
2020 Interspeech (USB) conference-paper Computer Science Speech Recognition and Synthesis

Patrick von Platen, Fei Tao, Gökhan Tür

2

citations
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
2020 arXiv (Cornell University) preprint Computer Science Speech Recognition and Synthesis Open access

Patrick von Platen, Fei Tao, Gökhan Tür

0

citations
Understanding transfer learning and gradient-based meta-learning techniques
2023 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access cited by 1 patent

Mike Huisman, Aske Plaat, Jan N. van Rijn

12

citations
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Mike Huisman, Aske Plaat, Jan N. van Rijn

0

citations
Rogue Emitter Detection Using Hybrid Network of Denoising Autoencoder and Deep Metric Learning
2023 International Conference on Communications conference-paper Computer Science Wireless Signal Modulation Classification

Zeyang Yang, Xue Gang Fu, Guan Gui, Yun Lin, Haris Gacanin, Hikmet Sari, +1 more

10

citations
Open-Set Automatic Modulation Classification Using Deep Metric Learning and Openmax
2025 IEEE Vehicular Technology Conference conference-paper Computer Science Wireless Signal Modulation Classification

Ai Chen, Weiqi Sun, Xixi Zhang, Haris Gacanin, Hikmet Sari, Fumiyuki Adachi, +1 more

3

citations
Semi-Supervised Specific Emitter Identification Method Using Metric-Adversarial Training
2023 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Yang Peng, Yuchao Liu, Yun Lin, Guan Gui, Haris Gacanin, +1 more

125

citations
Deep hashing with self-supervised asymmetric semantic excavation and margin-scalable constraint
2022 Neurocomputing article Computer Science Advanced Image and Video Retrieval Techniques Open access

Zhengyang Yu, Song Wu, Zhihao Dou, Erwin M. Bakker

9

citations
A Novel Semi-Supervised Learning Framework for Specific Emitter Identification
2022 IEEE Vehicular Technology Conference conference-paper Computer Science Wireless Signal Modulation Classification

Xue Gang Fu, Yu Wang, Yun Lin, Guan Gui, Haris Gacanin, Fumiyuki Adachi

9

citations
Gaussian Anomaly Detection by Modeling the Distribution of Normal Data in Pretrained Deep Features
2021 IEEE Transactions on Instrumentation and Measurement article Computer Science Anomaly Detection Techniques and Applications Open access cited by 2 patents

Oliver Rippel, Patrick Mertens, Eike Konig, Dorit Merhof

85

citations
Deep Frequency Re-calibration U-Net for Medical Image Segmentation
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) conference-paper Computer Science Medical Image Segmentation Techniques cited by 1 patent

Reza Azad, I Afshin Bozorgpour, Maryam Asadi-Aghbolaghi, Dorit Merhof, Sérgio Escalera

61

citations
Abstract 5695: Deep learning risk prediction model of distant recurrence from H&E endometrial cancer slides
2023 Cancer Research conference-abstract Computer Science AI in cancer detection

Sarah Volinsky-Fremond, Sonali Andani, Jurriaan Barkey Wolf, Gitte Ørtoft, Estrid Vilma Solyom Høgdall, Jouke Dijkstra, +17 more

0

citations
Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype
2026 arXiv (Cornell University) preprint Computer Science AI in cancer detection Open access

Jan-Philipp Redlich, Friedrich Feuerhake, Stefan Nikolin, Nadine S. Schaadt, Sarah Teuber‐Hanselmann, Joachim Weis, +9 more

0

citations
Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials
2024 Cancer Imaging article Computer Science AI in cancer detection Open access

Sena Alaeikhanehshir, Madelon M. Voets, Frederieke H van Duijnhoven, Esther H. Lips, Emma Josephine Groen, Marja C.J. van Oirsouw, +23 more

14

citations
Comparative Analysis of Unsupervised and Supervised Autoencoders for Nuclei Classification in Clear Cell Renal Cell Carcinoma Images
2025 IEEE International Symposium on Biomedical Imaging (ISBI) conference-paper Computer Science AI in cancer detection Open access

Fatemeh Javadian, Zahra Aminparast, Johannes Stegmaier, Abin Jose

0

citations