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Papers matching “feature space learning” 69

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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
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
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
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
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
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
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
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
Learning to Adapt SAM for Segmenting Cross-Domain Point Clouds
2024 Lecture notes in computer science conference-paper Computer Science Domain Adaptation and Few-Shot Learning

Xidong Peng, Runnan Chen, Feng Qiao, Lingdong Kong, Youquan Liu, Yujing Sun, +3 more

10

citations
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning
2025 Machine Learning article Computer Science Time Series Analysis and Forecasting Open access

Wadie Skaf, Mitra Baratchi, Holger H. Hoos

0

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 conference-paper Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Hector Geffner

1

citations
Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
2024 arXiv (Cornell University) preprint Computer Science AI-based Problem Solving and Planning Open access

Till Hofmann, Héctor Geffner

0

citations
Discriminative feature modeling for statistical speech recognition
2020 RWTH Publications (RWTH Aachen) dissertation Computer Science Speech Recognition and Synthesis Open access

Zoltán Tüske

1

citations
What Should a Network-Aware Agent Observe? A Systematic Analysis of Metadata Features for Reinforcement Learning Control over Wireless Links
2026 Electronics article Computer Science Reinforcement Learning in Robotics Open access

André Gilerson, Robert Heinrich Schmitt

0

citations
Exploring the Search Space of Neural Network Combinations obtained with Efficient Model Stitching
2024 Genetic and Evolutionary Computation Conference Companion (GECCO Companion) conference-paper Computer Science Advanced Neural Network Applications Open access

Arthur Guijt, Dirk Thierens, Tanja Alderliesten, Peter A. N. Bosman

1

citations
Personalized anomaly detection using deep active learning
2023 RAS Techniques and Instruments article Computer Science Anomaly Detection Techniques and Applications Open access

Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi

5

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
Deep Hashing with Hash Center Update for Efficient Image Retrieval
2022 IEEE International Conference on Acoustics Speech and Signal Processing conference-paper Computer Science Advanced Image and Video Retrieval Techniques

Abin Jose, Daniel Filbert, Christian Rohlfing, Jens-Rainer Ohm

19

citations
Machine learning for efficient segregation and labeling of potential biological sounds in long-term underwater recordings
2024 Frontiers in Remote Sensing article Computer Science Music and Audio Processing Open access

Clea Parcerisas, Elena Schall, Kees te Velde, Dick B. Botteldooren, Paul Devos, Elisabeth Debusschere

19

citations