Results 1 to 10 of about 5,879,357 (336)
Unsupervised Learning Methods for Data-Driven Vibration-Based Structural Health Monitoring: A Review
Sensors, 2023 Structural damage detection using unsupervised learning methods has been a trending topic in the structural health monitoring (SHM) research community during the past decades.
Kareem Eltouny +2 more
doaj +2 more sources
Unsupervised Learning Methods for Molecular Simulation Data
Chemical Reviews, 2021 Unsupervised learning is becoming an essential tool to analyze the increasingly large amounts of data produced by atomistic and molecular simulations, in material science, solid state physics, biophysics, and biochemistry.
Aldo Glielmo +2 more
exaly +2 more sources
ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems, 2017 Laura Igual, Santi Seguí
semanticscholar +6 more sources
Generative Cooperative Learning for Unsupervised Video Anomaly Detection [PDF]
Computer Vision and Pattern Recognition, 2022 Video anomaly detection is well investigated in weakly-supervised and one-class classification (OCC) settings. However, unsupervised video anomaly detection methods are quite sparse, likely because anomalies are less frequent in occurrence and usually ...
M. Zaheer +5 more
semanticscholar +1 more source
Unsupervised Degradation Representation Learning for Blind Super-Resolution [PDF]
Computer Vision and Pattern Recognition, 2021 Most existing CNN-based super-resolution (SR) methods are developed based on an assumption that the degradation is fixed and known (e.g., bicubic downsampling).
Longguang Wang +6 more
semanticscholar +1 more source
DLUT: Decoupled Learning-Based Unsupervised Tracker
Sensors, 2023 Unsupervised learning has shown immense potential in object tracking, where accurate classification and regression are crucial for unsupervised trackers.
Zhengjun Xu +4 more
doaj +1 more source
Momentum Contrast for Unsupervised Visual Representation Learning [PDF]
Computer Vision and Pattern Recognition, 2019 We present Momentum Contrast (MoCo) for unsupervised visual representation learning. From a perspective on contrastive learning as dictionary look-up, we build a dynamic dictionary with a queue and a moving-averaged encoder. This enables building a large
Kaiming He +4 more
semanticscholar +1 more source
Machine Learning Algorithms: An Experimental Evaluation for Decision Support Systems
Algorithms, 2022 Decision support systems with machine learning can help organizations improve operations and lower costs with more precision and efficiency. This work presents a review of state-of-the-art machine learning algorithms for binary classification and makes a
Hugo Silva, Jorge Bernardino
doaj +1 more source
Unsupervised Cross-lingual Representation Learning at Scale [PDF]
Annual Meeting of the Association for Computational Linguistics, 2019 This paper shows that pretraining multilingual language models at scale leads to significant performance gains for a wide range of cross-lingual transfer tasks.
Alexis Conneau +9 more
semanticscholar +1 more source
Supervised and Unsupervised Learning of Audio Representations for Music Understanding [PDF]
International Society for Music Information Retrieval Conference, 2022 In this work, we provide a broad comparative analysis of strategies for pre-training audio understanding models for several tasks in the music domain, including labelling of genre, era, origin, mood, instrumentation, key, pitch, vocal characteristics ...
Matthew C. McCallum +4 more
semanticscholar +1 more source