1. Global, multi-scale standing deadwood segmentation in centimeter-scale aerial images
   2025/10/22 by Jakobus Möhring, Teja Kattenborn, Miguel D. Mahecha +24 · 1 voice · 1 citation
   Agricultural and Biological Sciences · Chemistry · Environmental Science · #Aerial image #Biome #Feature (linguistics) #Feature extraction #Forest Ecology and Biodiversity Studies #Image segmentation #Orthophoto #Pruning #Remote Sensing and LiDAR Applications #Segmentation #Tree (set theory) #Wood and Agarwood Research
2. Cross-corpus speech emotion recognition with transformers: Leveraging handcrafted features and data augmentation
   2024/07/12 by Roobaea Alroobaea · 2 citations
   Computer Science · Psychology · #Artificial intelligence #Computer science #Data mining #Data pre-processing #Discriminative model #Emotion and Mood Recognition #Emotion classification #Feature (linguistics) #Feature extraction #Feature selection #Field (mathematics) #Machine learning #Music and Audio Processing #Natural language processing #Pattern recognition (psychology) #Preprocessor #Speech and Audio Processing #Speech recognition
3. Advancements in Feature Extraction Recognition of Medical Imaging Systems Through Deep Learning Technique
   2024/05/23 by Qishi Zhan, Dan Sun, Zhan, Qishi +9 · 1 citation
   Chemistry · Neuroscience · #Artificial intelligence #Brain Tumor Detection and Classification #Chemistry #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Deep learning #Extraction (chemistry) #FOS: Computer and information sciences #FOS: Electrical engineering #Feature (linguistics) #Feature extraction #Image and Video Processing (eess.IV) #Machine learning #Medical imaging #Pattern recognition (psychology) #electronic engineering #information engineering
4. FAFS-UNet: Redesigning skip connections in UNet with feature aggregation and feature selection
   2024/01/15 by Xiaoqian Zhang, Shukai Yang, Youtao Jiang +2 · 7 citations
   Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #Aggregate (composite) #Artificial intelligence #Computer science #Data mining #Encoder #Feature (linguistics) #Feature extraction #Feature selection #Pattern recognition (psychology) #Radiomics and Machine Learning in Medical Imaging #Scale (ratio) #Segmentation #Selection (genetic algorithm)
5. Why do CNNs excel at feature extraction? A mathematical explanation
   2023/07/03 by Vinoth Nandakumar, Arush Tagade, Nandakumar, Vinoth +3 · 1 citation
   Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Computer science #Construct (python library) #Contextual image classification #Convolutional neural network #Feature (linguistics) #Feature extraction #Field (mathematics) #Image (mathematics) #Machine Learning and Data Classification #Machine learning #Mathematics #Medical Image Segmentation Techniques #Neural Networks and Applications #Pattern recognition (psychology) #Piecewise #Piecewise linear function #cs.AI #cs.CV
6. Zero-Shot Compound Fault Diagnosis Method Based on Semantic Learning and Discriminative Features
   2023/01/01 by Juan Xu, Haiqiang Zhang, Long Zhou +1 · 2 citations
   Engineering · #Artificial intelligence #Artificial neural network #Autoencoder #Computer science #Convolution (computer science) #Convolutional neural network #Data mining #Deep learning #Discriminative model #Engineering Diagnostics and Reliability #Euclidean distance #Fault (geology) #Fault detection and isolation #Feature (linguistics) #Feature extraction #Feature vector #Gear and Bearing Dynamics Analysis #Machine Fault Diagnosis Techniques #Pattern recognition (psychology) #Semantic similarity #Semantics (computer science) #Stuck-at fault
7. Approximation analysis of CNNs from a feature extraction view
   2022/10/14 by Jianfei Li, Feng Han, Li, Jianfei +3 · 1 citation
   Computer Science · Engineering · Mathematics · #Activation function #Algorithm #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computer science #Convolutional neural network #Deep learning #Dimension (graph theory) #FOS: Computer and information sciences #FOS: Mathematics #Feature extraction #Function approximation #Functional Analysis (math.FA) #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Mathematics #Neural Networks and Applications #Pattern recognition (psychology) #Sparse and Compressive Sensing Techniques #Wavelet
8. Compound Fault Diagnosis Using Optimized MCKD and Sparse Representation for Rolling Bearings
   2022/01/01 by Wu Deng, Zhongxian Li, Xinyan Li +2 · 13 citations
   Engineering · #Algorithm #Artificial intelligence #Channel (broadcasting) #Compressed sensing #Computer science #Control theory (sociology) #Convergence (economics) #Deconvolution #Demodulation #Fault (geology) #Feature extraction #Gear and Bearing Dynamics Analysis #Machine Fault Diagnosis Techniques #Matching pursuit #Pattern recognition (psychology) #Robustness (evolution) #Sparse approximation #Welding Techniques and Residual Stresses
9. CLF-Net: Contrastive Learning for Infrared and Visible Image Fusion Network
   2022/01/01 by Zhengjie Zhu, Xiaogang Yang, Ruitao Lu +3 · 3 citations
   Computer Science · Engineering · #Advanced Image Fusion Techniques #Artificial intelligence #Artificial neural network #Computer science #Computer vision #Deep learning #Feature (linguistics) #Feature extraction #Feature learning #Image (mathematics) #Image Enhancement Techniques #Image fusion #Pattern recognition (psychology) #Photoacoustic and Ultrasonic Imaging #Representation (politics) #Salient #Similarity (geometry) #Source code
10. Single Morphing Attack Detection using Feature Selection and Visualisation based on Mutual Information
    2021/10/26 by Juan Tapia, Christoph Busch, Tapia, Juan +1 · 1 citation
    Computer Science · #Artificial intelligence #Biometric Identification and Security #Classifier (UML) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #FOS: Computer and information sciences #Face (sociological concept) #Face recognition and analysis #Feature extraction #Feature selection #Morphing #Mutual information #Pattern recognition (psychology) #Visualization
11. Environment-Attention Network for Vehicle Trajectory Prediction
    2021/09/09 by Yingfeng Cai, Zihao Wang, Hai Wang +5 · 9 citations
    Engineering · #Adaptability #Artificial intelligence #Attention network #Autonomous Vehicle Technology and Safety #Computer science #Data mining #Feature (linguistics) #Feature extraction #Focus (optics) #Graph #Machine learning #Pooling #Theoretical computer science #Traffic Prediction and Management Techniques #Traffic and Road Safety #Trajectory
12. Automated arrhythmia detection with homeomorphically irreducible tree technique using more than 10,000 individual subject ECG records
    2021/06/12 by Mehmet Baygin, Turker Tuncer, Türker Tuncer +5 · 11 citations
    Medicine · Neuroscience · #Artificial intelligence #Artificial neural network #Cardiac arrhythmia #Classifier (UML) #Computer science #ECG Monitoring and Analysis #EEG and Brain-Computer Interfaces #F1 score #Feature extraction #Internal medicine #Machine learning #Medicine #Pattern recognition (psychology) #Phonocardiography and Auscultation Techniques #Pooling #Support vector machine
13. An automated COVID-19 detection based on fused dynamic exemplar pyramid feature extraction and hybrid feature selection using deep learning
    2021/03/27 by Fatih Ozyurt, Fatih Özyurt, Turker Tuncer +3 · 17 citations
    Computer Science · Engineering · Mathematics · Medicine · #Artificial intelligence #Artificial neural network #COVID-19 diagnosis using AI #Classifier (UML) #Computer science #Convolutional neural network #Deep learning #Digital Imaging for Blood Diseases #Feature (linguistics) #Feature extraction #Feature selection #Image Processing Techniques and Applications #Mathematics #Pattern recognition (psychology) #Preprocessor #Pyramid (geometry)
14. Identifying safe intersection design through unsupervised feature extraction from satellite imagery
    2020/10/19 by Jasper S. Wijnands, Haifeng Zhao, Kerry A. Nice +4 · 1 citation
    Engineering · #Autoencoder #Automated Road and Building Extraction #Feature (linguistics) #Feature extraction #Identification (biology) #Intersection (aeronautics) #SAFER #Satellite #Satellite imagery #Telematics #Traffic Prediction and Management Techniques #Traffic and Road Safety
15. Automatic Modulation Classification Using CNN-LSTM Based Dual-Stream Structure
    2020/10/12 by Zufan Zhang, Hao Luo, Chun Wang +2 · 14 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial intelligence #Computer science #Convolutional neural network #Deep learning #Feature (linguistics) #Feature extraction #Fractal and DNA sequence analysis #Machine learning #Modulation (music) #Pattern recognition (psychology) #Preprocessor #Radar Systems and Signal Processing #Wireless Signal Modulation Classification
16. A Deep Convolutional Neural Network for the Detection of Polyps in\n Colonoscopy Images
    2020/08/15 by Tariq Rahim, Syed Ali Hassan, Rahim, Tariq +3 · 1 citation
    Computer Science · Medicine · #Artificial intelligence #Colonoscopy #Colorectal Cancer Screening and Detection #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Convolutional neural network #Deep learning #FOS: Computer and information sciences #FOS: Electrical engineering #Feature extraction #Image (mathematics) #Image Retrieval and Classification Techniques #Image and Video Processing (eess.IV) #Image segmentation #Machine Learning (cs.LG) #Medicine #Pattern recognition (psychology) #Pixel #Softmax function #Sørensen–Dice coefficient #electronic engineering #information engineering
17. Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
    2020/08/13 by Taeoh Kim, Kim, Taeoh, Hyeongmin Lee +9 · 3 citations
    Computer Science · #Artificial intelligence #Cognitive neuroscience of visual object recognition #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Domain Adaptation and Few-Shot Learning #Exploit #FOS: Computer and information sciences #Feature extraction #Human Pose and Action Recognition #Invariant (physics) #Machine learning #Multimodal Machine Learning Applications #Pattern recognition (psychology) #Prior probability #Robustness (evolution)
18. Optimisation of phonetic aware speech recognition through multi-objective evolutionary algorithms
    2020/03/24 by Jordan J. Bird, Elizabeth F. Wanner, Elizabeth Wanner +2 · 1 citation
    Computer Science · #Artificial intelligence #Artificial neural network #Computer science #Evolutionary Algorithms and Applications #Feature extraction #Hidden Markov model #Machine learning #Mel-frequency cepstrum #Music and Audio Processing #Pattern recognition (psychology) #Set (abstract data type) #Sliding window protocol #Speech and Audio Processing #Speech recognition #Window (computing)
19. A comparative analysis of signal processing and classification methods for different applications based on EEG signals
    2020/02/21 by Ashima Khosla, Padmavati Khandnor, Trilok Chand · 1 citation
    Medicine · Neuroscience · Psychology · #Artificial intelligence #Computer science #ECG Monitoring and Analysis #EEG and Brain-Computer Interfaces #Electroencephalography #Feature extraction #Functional Brain Connectivity Studies #Functional magnetic resonance imaging #Neuroimaging #Neuroscience #Pattern recognition (psychology) #Psychology #Transcranial magnetic stimulation
20. Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks
    2019/10/25 by Qin Zou, Hanwen Jiang, Qiyu Dai +3 · 25 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety #Block (permutation group theory) #Convolutional neural network #Deep learning #Feature (linguistics) #Feature extraction #Focus (optics) #Frame (networking) #Property (philosophy)
21. Design of an Always-On Deep Neural Network-Based 1-μ W Voice Activity Detector Aided With a Customized Software Model for Analog Feature Extraction
    2019/05/06 by Minhao Yang, Chung-Heng Yeh, Yiyin Zhou +4 · 4 citations
    Computer Science · #Artificial intelligence #Artificial neural network #Blind Source Separation Techniques #Computer science #Feature extraction #Music and Audio Processing #Perceptron #Software #Speech and Audio Processing #Speech recognition
22. A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process
    2018/12/18 by Melis Onel, Chris A. Kieslich, Efstratios N. Pistikopoulos · 11 citations
    Chemistry · Engineering · #Artificial intelligence #Benchmark (surveying) #Computer science #Data mining #Engineering #Fault (geology) #Fault Detection and Control Systems #Fault detection and isolation #Feature (linguistics) #Feature extraction #Feature selection #Machine learning #Mineral Processing and Grinding #Nonlinear system #Pattern recognition (psychology) #Spectroscopy and Chemometric Analyses #Support vector machine
23. Automatic Modulation Classification: A Deep Learning Enabled Approach
    2018/09/04 by Fan Meng, Peng Chen, Lenan Wu +1 · 34 citations
    Computer Science · Engineering · #Artificial intelligence #Artificial neural network #Classifier (UML) #Computer science #Convolutional neural network #Deep learning #Feature extraction #Inference #Machine learning #Pattern recognition (psychology) #Radar Systems and Signal Processing #Robustness (evolution) #Transfer of learning #Wireless Signal Modulation Classification
24. Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
    2017/12/31 by Battista Biggio, Fabio Roli · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Adversarial machine learning #Adversarial system #Artificial intelligence #Artificial neural network #Bacillus and Francisella bacterial research #Computer science #Computer security #Deep learning #Facial recognition system #Feature extraction #Field (mathematics) #Machine learning #Malware #cs.CR #cs.CV #cs.GT #cs.LG
25. Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics
    2016/10/05 by Ioannis Mademlis, Anastasios Tefas, Nikos Nikolaidis +1 · 2 citations
    Computer Science · #Video Analysis and Summarization #Advanced Vision and Imaging #Music and Audio Processing #Automatic summarization #Computer science #Artificial intelligence #Computer vision #Stereoscopy #Key frame #Video compression picture types #Feature (linguistics) #Construct (python library) #Optical flow #Frame (networking) #Feature extraction #Process (computing) #Video tracking #Video processing #Image (mathematics)
26. A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
    2015/12/19 by Thomas Wiatowski, Wiatowski, Thomas, Helmut Bölcskei +1 · 1 voice · 4 citations
    Computer Science · Earth and Planetary Sciences · Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Computer science #Convolutional neural network #Feature extraction #Image and Signal Denoising Methods #Lipschitz continuity #Mathematical analysis #Mathematics #Model Reduction and Neural Networks #Pattern recognition (psychology) #Seismic Imaging and Inversion Techniques #Softmax function #Wavelet #cs.AI #cs.IT #cs.LG #math.FA #math.IT #stat.ML
27. Local spectral variability features for speaker verification
    2015/11/18 by Md Sahidullah, Tomi Kinnunen · 1 citation
    Computer Science · Mathematics · #Artificial intelligence #Cepstrum #Computer science #Covariance #Feature (linguistics) #Feature extraction #Feature vector #Mathematics #Mel-frequency cepstrum #Music and Audio Processing #NIST #Pattern recognition (psychology) #Speaker recognition #Speech Recognition and Synthesis #Speech and Audio Processing #Speech recognition #Statistics
28. An Obstructive Sleep Apnea Detection Approach Using a Discriminative Hidden Markov Model From ECG Signals
    2015/11/05 by Changyue Song, Kaibo Liu, Xi Zhang +2 · 26 citations
    Engineering · Medicine · Psychology · #Apnea #Artificial intelligence #Cardiology #Classifier (UML) #Computer science #Discriminative model #Feature extraction #Feature selection #Hidden Markov model #Internal medicine #Machine learning #Medicine #Non-Invasive Vital Sign Monitoring #Obstructive Sleep Apnea Research #Obstructive sleep apnea #Pattern recognition (psychology) #Polysomnography #Sleep and Work-Related Fatigue #Sleep apnea #Speech recognition
29. Image processing and classification in diabetic retinopathy: A review
    2014/12/01 by Arslan Ahmad, Atif Bin Mansoor, Rafia Mumtaz +2 · 1 citation
    Medicine · Computer Science · #Retinal Imaging and Analysis #Digital Imaging for Blood Diseases #Retinal Diseases and Treatments #Diabetic retinopathy #Retinopathy #Feature extraction #Computer science #Artificial intelligence #Diabetes mellitus #Medicine #Contextual image classification #Receiver operating characteristic #Image processing #Pattern recognition (psychology) #Computer vision #Optometry #Image (mathematics) #Machine learning
30. Epileptic Seizure Classification of EEG Time-Series Using Rational Discrete Short-Time Fourier Transform
    2014/09/24 by Kaveh Samiee, Peter Kovacs, Péter Kovács +1 · 30 citations
    Computer Science · Mathematics · Neuroscience · Psychology · #Artificial intelligence #Blind Source Separation Techniques #Classifier (UML) #Computer science #Computer vision #EEG and Brain-Computer Interfaces #Electroencephalography #Epileptic seizure #Feature extraction #Fourier transform #Mathematics #Neuroscience #Pattern recognition (psychology) #Psychology #Speech recognition #Time Series Analysis and Forecasting #Time–frequency analysis

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