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Papers matching “feature space learning” 178

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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
Deep Subclass Linear Discriminant Analysis For Multimodal Feature Space Learning
2020 Proceedings - International Conference on Image Processing conference-paper Computer Science Face and Expression Recognition

Abin Jose, Yan Shen, Mi Zhang, Jens-Rainer Ohm

0

citations
Fine metal-rich waste stream characterization based on RGB data: Comparison between feature-based and deep learning classification methods
2021 conference-paper Computer Science Advanced Neural Network Applications Open access

Nils Kroell, Kay Johnen, Xiaozheng Chen, Alexander Feil

1

citations
Practical feature filter strategy to machine learning for small datasets in chemistry
2024 Scientific Reports article Materials Science Machine Learning in Materials Science Open access

Yang Hu, Roland Sandt, Robert Spatschek

20

citations
Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Domain Adaptation and Few-Shot Learning Open access

Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek

1

citations
A multitask latent space learning framework for modeling and inversion of structure–property relationships
2026 RWTH Publications (RWTH Aachen) dissertation Materials Science Machine Learning in Materials Science Open access

Tarek Iraki

0

citations
Interpretable visual feature discovery using multiple instance learning: A case study of colonial Korean print
2026 Computational Humanities Research article Arts and Humanities Digital Humanities and Scholarship Open access

Aron Van de Pol, Jelena Prokić, Angus Mol

0

citations
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
2025 arXiv (Cornell University) preprint Computer Science Music and Audio Processing Open access

Vincent S. Kather, Burooj Ghani, Dan Stowell

1

citations
Interpretably learning the critical temperature of superconductors: Electron concentration and feature dimensionality reduction
2024 APL Materials article Materials Science Machine Learning in Materials Science Open access

Ángel Díaz Carral, Martín Roitegui, Maria Fyta

4

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
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
Global, high-resolution mapping of tropospheric ozone – explainable machine learning and impact of uncertainties
2022 preprint Environmental Science Air Quality Monitoring and Forecasting Open access

Clara Betancourt, Timo T. Stomberg, Ann-Kathrin Edrich, Ankit Patnala, Martin G. Schultz, Ribana Roscher, +2 more

4

citations
Learning minimal representations of fermionic ground states
2026 Physical Review Research article Physics and Astronomy Quantum many-body systems Open access

Felix Frohnert, Emiel Koridon, Stefano Polla

0

citations
Learning to Adapt SAM for Segmenting Cross-domain Point Clouds
2023 arXiv (Cornell University) preprint Computer Science Domain Adaptation and Few-Shot Learning Open access

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Tai Wang, +2 more

2

citations
Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
2023 St Andrews Research Repository (St Andrews Research Repository) conference-paper Computer Science AI in cancer detection Open access

Georg Wölflein, Dyke Ferber, Asier Rabasco Meneghetti, Omar S. M. El Nahhas, Daniel Truhn, Zunamys Itzell Carrero, +3 more

7

citations
Comparison of deep learning and hand crafted features for mining simulation data
2021 Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition conference-paper Physics and Astronomy Model Reduction and Neural Networks

Theodoros Georgiou, Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Chen, Michael S. Lew

1

citations
PREPRINT: Comparison of deep learning and hand crafted features for mining simulation data
2021 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access

Sebastian Schmitt, Thomas Bäck, Nan Pu, Wei Ren Chen, Michael S. Lew

0

citations
Interpreting Black-box Machine Learning Models for High Dimensional Datasets
2023 IEEE International Conference on Data Science and Advanced Analytics (DSAA) conference-paper Computer Science Explainable Artificial Intelligence (XAI) Open access

Md Shajalal, Alexander Graß, Till Döhmen, Sisay Adugna Chala, Alexander Boden, Christian Beecks, +1 more

19

citations
Feature Visualization for 3D Point Cloud Autoencoders
2020 conference-paper Engineering 3D Shape Modeling and Analysis

Thiago Rios, Bas van Stein, Stefan Menzel, Thomas Bäck, Bernhard Sendhoff, Patricia Wollstadt

21

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
Abstract A051: Multi-omic explainable machine learning improves cancer treatment outcome prediction
2025 Clinical Cancer Research conference-abstract Biochemistry, Genetics and Molecular Biology Breast Cancer Treatment Studies

Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, +10 more

2

citations
Prediction of impaired myocardial blood flow (MBF) with the use of machine learning techniques on CTCA based parameters
2021 European Heart Journal - Cardiovascular Imaging article Medicine Cardiac Imaging and Diagnostics

Georgios-Eleftherios Kalykakis, Pavlos P. Kafouris, Athanassios Antonopoulos, T Pitsariotis, Panagiotis K. Siogkas, Themis Exarchos, +9 more

0

citations
Supervised Contrastive Learning for RFF Identification With Limited Samples
2023 IEEE Internet of Things Journal article Computer Science Wireless Signal Modulation Classification Open access

Yang Peng, Changbo Hou, Yibin Zhang, Yun Lin, Guan Gui, Haris Gacanin, +2 more

70

citations
Statistical Learning Theory for Distributional Classification
2026 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Algorithms Open access

Christian Fiedler

0

citations