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  1. Laplacian Autoencoders for Learning Stochastic Representations
    2022/06/30 by Marco Miani, Miani, Marco, Frederik Warburg +6 · 1 citation
    Computer Science · Mathematics · #Applied mathematics #Artificial intelligence #Autoencoder #Bayesian probability #Computer science #Deep learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Feature learning #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Hessian matrix #Laplace distribution #Laplace operator #Laplace transform #Laplace's method #Machine Learning (cs.LG) #Machine learning #Mathematical analysis #Mathematics #Monte Carlo method #Prior probability #Representation (politics) #Statistics #Unsupervised learning
  2. Plastic classification via in-line hyperspectral camera analysis and unsupervised machine learning
    2021/12/05 by Martin Lahn Henriksen, Celine B. Karlsen, Pernille Klarskov +1 · 2 citations
    Environmental Science · Engineering · #Microplastics and Plastic Pollution #Recycling and Waste Management Techniques #Water Quality Monitoring Technologies #Hyperspectral imaging #Artificial intelligence #Sorting #Plastic waste #Computer science #Pattern recognition (psychology) #Machine learning #Unsupervised learning #Materials science #Algorithm #Engineering
  3. Learning Unsupervised Multi-View Stereopsis via Robust Photometric Consistency
    2019/05/07 by Tejas Khot, Shubham Agrawal, Khot, Tejas +9 · 4 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Consistency (knowledge bases) #FOS: Computer and information sciences #Image (mathematics) #Machine Learning (cs.LG) #Optical measurement and interference techniques #Photometric stereo #Stereopsis #Unsupervised learning
  4. Machine Learning Paradigms for Speech Recognition: An Overview
    2013/01/30 by Li Deng, Xiao Li · 1 citation
    Computer Science · #Speech Recognition and Synthesis #Speech and Audio Processing #Music and Audio Processing #Computer science #Artificial intelligence #Discriminative model #Machine learning #Context (archaeology) #Hidden Markov model #Unsupervised learning #Deep learning #Task (project management) #Multi-task learning #Sequence learning
  5. On learning sets and functions
    1989/10/01 by B. K. Natarajan · 1 citation
    Computer Science · Mathematics · #Algorithmic learning theory #Algorithms and Data Compression #Artificial intelligence #Artificial neural network #Computability, Logic, AI Algorithms #Computational learning theory #Computer science #Connectionism #Machine Learning and Algorithms #Machine learning #Mathematics #Probabilistic logic #Probably approximately correct learning #Statement (logic) #Theoretical computer science #Unsupervised learning